----------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\ayudante\Dropbox\Donald\Data bienes p�blicos\Supplemen
> tary materials\finalresults.log
  log type:  text
 opened on:  18 Dec 2019, 12:29:07

. 
. **************************************************************************
> ******
. * Table 1: Experimental design and (preliminary) sample description
. **************************************************************************
> ******
. preserve

. collapse(mean) contribution, by(subject treatment extipe)

. tab treatment extipe, label

           |    Experiment type
Treatments |    Single   Multiple |     Total
-----------+----------------------+----------
 Leviathan |       100        115 |       215 
 Democracy |       100        120 |       220 
-----------+----------------------+----------
     Total |       200        235 |       435 


. restore

. 
. **************************************************************************
> ******
. * Table 2: Data Summary
. **************************************************************************
> ******
. 
. ///ssc install estout
> 
. forvalues i=4001/9170{
  2.                         qui replace subject=subject[`i']+200 in `i'
  3.                         qui replace group=group[`i']+40 in `i'
  4. }

. 
. preserve 

. collapse(mean) treatment woman income risk_aversion economist edcom fcnm f
> cv ///
>                 fict fiec fimcbor fimcp, by(subject)

. tabstat woman income risk_aversion economist edcom fcnm fcv fict fiec fimc
> bor ///
>                 fimcp, stat(mean sd N) col(stat)

    variable |      mean        sd         N
-------------+------------------------------
       woman |  .4505747   .498124       435
      income |  2.524138  1.160503       435
risk_avers~1 |  6.032184  1.381106       435
   economist |  .3471264  .4766045       435
       edcom |  .0344828  .1826757       435
        fcnm |  .0988506  .2988049       435
         fcv |  .0436782  .2046134       435
        fict |  .0666667   .249731       435
        fiec |  .2091954  .4072025       435
     fimcbor |  .0482759  .2145954       435
       fimcp |  .1517241  .3591664       435
--------------------------------------------

. estpost summ woman income risk_aversion economist edcom fcnm fcv fict fiec
>  ///
>                 fimcbor fimcp

             |  e(count)   e(sum_w)    e(mean)     e(Var)      e(sd) 
-------------+-------------------------------------------------------
       woman |       435        435   .4505747   .2481275    .498124 
      income |       435        435   2.524138   1.346766   1.160503 
risk_avers~1 |       435        435   6.032184   1.907454   1.381106 
   economist |       435        435   .3471264   .2271519   .4766045 
       edcom |       435        435   .0344828   .0333704   .1826757 
        fcnm |       435        435   .0988506   .0892844   .2988049 
         fcv |       435        435   .0436782   .0418666   .2046134 
        fict |       435        435   .0666667   .0623656    .249731 
        fiec |       435        435   .2091954   .1658139   .4072025 
     fimcbor |       435        435   .0482759   .0460512   .2145954 
       fimcp |       435        435   .1517241   .1290005   .3591664 

             |    e(min)     e(max)     e(sum) 
-------------+---------------------------------
       woman |         0          1        196 
      income |         1          5       1098 
risk_avers~1 |  1.857143   9.714286       2624 
   economist |         0          1        151 
       edcom |         0          1         15 
        fcnm |         0          1         43 
         fcv |         0          1         19 
        fict |         0          1         29 
        fiec |         0          1         91 
     fimcbor |         0          1         21 
       fimcp |         0          1         66 

. 
. esttab using tab2.tex, replace cells (" count(fmt(0)) mean(fmt(2)) sd(fmt(
> 2)) min(fmt(0)) max(fmt(0))") ///
>                                                         title ("Data Summa
> ry" \label{tab12}) ///
>                                                         mtitles("N" "Mean"
>  "Sd" "Min" "Max") ///
>                                                         noobs nonotes nonu
> mber
(note: file tab2.tex not found)
(output written to tab2.tex)

. restore

. 
. **************************************************************************
> ******
. * Data analisys, by treatment
. **************************************************************************
> ******
. 
. do single                       // perform analysis for Single selection t
> reatment

. **************************************************************************
> ******
. * "Political Accountability and Democratic Institutions: An Experimental A
> ssessment"
. * By Jose Gabriel Castillo and John Hamman
. * Journal of Experimental Political Science
. * 11/12/2019
. * Final program single choice
. **************************************************************************
> ******
. 
. use data1.dta, clear //data set is create in stata 13 version

. 
. **************************************************************************
> ******
. * Generate dummies for DD 
. **************************************************************************
> ******
. gen puntreat=0                          // punishment dummy: second phase

. replace puntreat=1 if phase == 2
(1999 real changes made)

. label var puntreat "punishment (P)"

. 
. gen demtreat=0                          // Democracy treatment 

. replace demtreat=1 if treatment == 2
(2000 real changes made)

. label var demtreat "Democracy (D)"

. 
. gen dddem=puntreat*demtreat //D-i-D: Pun*Dem

. label var dddem "Democracy vs. Leviathan (P*D)"

. 
. **************************************************************************
> ******
. * New variables for figures
. **************************************************************************
> ******
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

. 
. by group period, sort : egen float ave_groupcontribution = mean(contributi
> on)

. label var ave_groupcontribution "Average group contribution"

. 
. gen ave_Othercontribution = (5*ave_groupcontribution - contribution)/4

. label var ave_Othercontribution "Average Fellow contribution"

. 
. by institution period, sort : egen float ave_institutioncontribution = mea
> n(contribution)

. label var ave_institutioncontribution "Average contribution in Each instit
> ution"

. 
. by institution4 period, sort : egen float ave_institution4contribution = m
> ean(contribution)

. label var ave_institution4contribution "Average contribution in each sub-T
> reatment"

. 
. by institution4 period, sort : egen float ave_institution4contributionMan 
> = mean(contribution) if manager2==1
(3200 missing values generated)

. label var ave_institution4contributionMan "Average Manager contribution in
>  each sub-Treatment"

. 
. by institution4 period, sort : egen float ave_institution4contributionFel 
> = mean(contribution) if manager2==0
(800 missing values generated)

. label var ave_institution4contributionFel "Average non-Managers contributi
> on in each sub-Treatment"

. 
. by treatment period, sort : egen float ave_treatmentcontribution = mean(co
> ntribution)

. label var ave_treatmentcontribution "Average contribution in each Treatmen
> t"

. 
. by institution period, sort : egen float ave_institutionpunishment = mean(
> punishment)
(2000 missing values generated)

. label var ave_institutionpunishment "Average punishment in each institutio
> n"

. 
. by group period, sort : egen float ave_groupprofit = mean(profit)

. label var ave_groupprofit "Average group profit"

. 
. by institution period, sort : egen float ave_institutionprofit = mean(prof
> it)

. label var ave_institutionprofit "Average profit in each institution"

. 
. by institution4 period, sort : egen float ave_institution4profit = mean(pr
> ofit)

. label var ave_institution4profit "Average profit in each sub-Treatment"

. 
. by treatment period, sort : egen float ave_Treatmentprofit = mean(profit)

. label var ave_Treatmentprofit "Average profit in each Treatment"

. 
. by group period, sort : egen float ave_groupprofit_nopunished = mean(profi
> t) if punished!=1
(698 missing values generated)

. label var ave_groupprofit_nopunished "Average group profit excluding punis
> hed subjects"

. 
. by institution period, sort : egen float ave_institutionprofit_nopunished 
> = mean(profit) if punished!=1
(698 missing values generated)

. label var ave_institutionprofit_nopunished "Average profit in each institu
> tion excluding punished subjects"

. 
. by institution4 period, sort : egen float ave_institution4profit_nopunish 
> = mean(profit) if punished!=1
(698 missing values generated)

. label var ave_institution4profit_nopunish "Average profit in each sub-Trea
> tment excluding punished subjects"

. 
. by treatment period, sort : egen float ave_treatmentprofit_nopunished = me
> an(profit) if punished!=1
(698 missing values generated)

. label var ave_treatmentprofit_nopunished "Average profit in each Treatment
>  excluding punished subjects"

. 
. **************************************************************************
> ******
. * Complementary programs
. **************************************************************************
> ******
. 
. **************************************************************************
> ******
. * Figure 1: Contribution Trend *
. **************************************************************************
> ******
. xtline ave_institution4contribution, overlay ///
> plot1opts(recast(connected) msymbol(o) lpattern(shortdash) lc(gs8) mc(gs8)
> )  ///
> plot2opts(recast(connected) msymbol(o) lpattern(solid) lc(black) mc(black)
> )  ///
> plot3opts(recast(connected) msymbol(s) lpattern(shortdash) lc(gs8) mc(gs8)
> )  ///
> plot4opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> )  /// 
> ytitle(Average Contribution (Points)) ttitle(period) legend(on) i(institut
> ion4) t(period) ///
> ylabel(0(2)20, nogrid) xlabel(0(1)20)  scheme(s1mono) xline(11, lpattern(d
> ash)) ///
> legend(label(1 "Leviathan (VCM)") label(2 "Democracy (VCM)") label(3 "Levi
> athan (Punish.)") ///
> label(4 "Democracy (Punish.)"))

. 
. graph save Graph fig1s, replace
(note: file fig1s.gph not found)
(file fig1s.gph saved)

. graph export fig1s.eps, replace
(note: file fig1s.eps not found)
(file fig1s.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Table 3: Average Performance Comparison
. * Note: The differences that stata windows results shows are VCM - Punishm
> ent. 
. *       In table 3 we report Punishment - VCM results. 
. **************************************************************************
> ******
. *Panel A:
. preserve

. collapse(mean) treatment contribution, by(group phase)

. xtset group phase
       panel variable:  group (unbalanced)
        time variable:  phase, 1 to 2
                delta:  1 unit

. * contribution pre vs. post in Leviathan
. ttest contribution if treatment == 1, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20        5.74    .4663588     2.08562      4.7639      6.71
> 61
       2 |      20    8.603204    .9244664     4.13434    6.668273    10.538
> 13
---------+------------------------------------------------------------------
> --
combined |      40    7.171602    .5600986    3.542375    6.038696    8.3045
> 08
---------+------------------------------------------------------------------
> --
    diff |           -2.863204    1.035436               -4.959336   -.76707
> 24
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -2.76
> 52
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0044         Pr(|T| > |t|) = 0.0087          Pr(T > t) = 0.99
> 56

. ranksumex contribution if treatment == 1, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20       329.5         410
           2 |       20       490.5         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.13
                     ----------
adjusted variance       1366.54

Ho: contri~n(phase==1) = contri~n(phase==2)
             z =  -2.178
    Prob > |z| =   0.0294

. * contribution pre vs. post in Democracy
. ttest contribution if treatment == 2, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20       6.238    .5609108    2.508469       5.064       7.4
> 12
       2 |      20       9.284    .7874671     3.52166    7.635813    10.932
> 19
---------+------------------------------------------------------------------
> --
combined |      40       7.761    .5358774    3.389186    6.677086    8.8449
> 14
---------+------------------------------------------------------------------
> --
    diff |              -3.046    .9668119               -5.003209   -1.0887
> 92
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -3.15
> 06
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0016         Pr(|T| > |t|) = 0.0032          Pr(T > t) = 0.99
> 84

. ranksumex contribution if treatment == 2, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20       306.5         410
           2 |       20       513.5         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.38
                     ----------
adjusted variance       1366.28

Ho: contri~n(phase==1) = contri~n(phase==2)
             z =  -2.800
    Prob > |z| =   0.0051

. * Diff-in-Diff in contribution
. gen dcont=contribution-L.contribution
(41 missing values generated)

. ttest dcont, by(treatment)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20    2.863204    .6014707    2.689859    1.604311    4.1220
> 97
       2 |      20       3.046    .6596763    2.950162    1.665282    4.4267
> 19
---------+------------------------------------------------------------------
> --
combined |      40    2.954602    .4408408    2.788122    2.062917    3.8462
> 87
---------+------------------------------------------------------------------
> --
    diff |           -.1827961    .8927149               -1.990003    1.6244
> 11
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -0.20
> 48
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.4194         Pr(|T| > |t|) = 0.8388          Pr(T > t) = 0.58
> 06

. ranksumex dcont, by (treatment)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20         403         410
           2 |       20         417         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.13
                     ----------
adjusted variance       1366.54

Ho: dcont(treatm~t==1) = dcont(treatm~t==2)
             z =  -0.189
    Prob > |z| =   0.8498

. restore

. 
. ** Panel B:
. * Punishment Leviathan vs. Democracy
. preserve

. collapse(mean) treatment punishment manager2, by(group phase)

. ttest punishment if phase == 2, by(treatment) 

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20        1.12    .1199474    .5364209    .8689473    1.3710
> 53
       2 |      20       1.044    .0851574    .3808356    .8657634    1.2222
> 37
---------+------------------------------------------------------------------
> --
combined |      40       1.082    .0728567    .4607864    .9346334    1.2293
> 67
---------+------------------------------------------------------------------
> --
    diff |                .076    .1471025               -.2217935    .37379
> 35
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =   0.51
> 66
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.6958         Pr(|T| > |t|) = 0.6084          Pr(T > t) = 0.30
> 42

. ranksumex punishment if phase == 2, by(treatment) 

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20       431.5         410
           2 |       20       388.5         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -2.05
                     ----------
adjusted variance       1364.62

Ho: punish~t(treatm~t==1) = punish~t(treatm~t==2)
             z =   0.582
    Prob > |z| =   0.5606

. restore

. 
. ** Panel C
. preserve

. collapse(mean) treatment profit, by(group phase)

. * Profit pre vs. post in Leviathan
. ttest profit if treatment == 1, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20       25.74    .4663588     2.08562     24.7639     26.71
> 61
       2 |      20    26.31688    .8657177    3.871607    24.50491    28.128
> 85
---------+------------------------------------------------------------------
> --
combined |      40    26.02844    .4875184    3.083337    25.04234    27.014
> 54
---------+------------------------------------------------------------------
> --
    diff |           -.5768776      .98334               -2.567545     1.413
> 79
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -0.58
> 67
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.2805         Pr(|T| > |t|) = 0.5609          Pr(T > t) = 0.71
> 95

. ranksumex profit if treatment == 1, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20       412.5         410
           2 |       20       407.5         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.26
                     ----------
adjusted variance       1366.41

Ho: profit(phase==1) = profit(phase==2)
             z =   0.068
    Prob > |z| =   0.9461

. * Profit pre vs. post in Democracy
. ttest profit if treatment == 2, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20      26.238    .5609107    2.508469      25.064      27.4
> 12
       2 |      20      27.071    .6686601    2.990339    25.67148    28.470
> 52
---------+------------------------------------------------------------------
> --
combined |      40     26.6545    .4358864    2.756787    25.77284    27.536
> 16
---------+------------------------------------------------------------------
> --
    diff |               -.833    .8727698                -2.59983    .93383
> 01
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -0.95
> 44
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.1729         Pr(|T| > |t|) = 0.3459          Pr(T > t) = 0.82
> 71

. ranksumex profit if treatment == 2, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20         372         410
           2 |       20         448         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.13
                     ----------
adjusted variance       1366.54

Ho: profit(phase==1) = profit(phase==2)
             z =  -1.028
    Prob > |z| =   0.3040

. * Diff-in-Diff in Profit
. sort group

. xtset group phase
       panel variable:  group (unbalanced)
        time variable:  phase, 1 to 2
                delta:  1 unit

. gen dprof=profit-L.profit
(41 missing values generated)

. ttest dprof, by(treatment)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      20    .5768775    .6411006    2.867089   -.7649615    1.9187
> 17
       2 |      20        .833    .6542304    2.925807     -.53632     2.202
> 32
---------+------------------------------------------------------------------
> --
combined |      40    .7049388    .4525472     2.86216   -.2104244    1.6203
> 02
---------+------------------------------------------------------------------
> --
    diff |           -.2561225    .9159844               -2.110436    1.5981
> 91
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -0.27
> 96
Ho: diff = 0                                     degrees of freedom =       
> 38

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.3906         Pr(|T| > |t|) = 0.7813          Pr(T > t) = 0.60
> 94

. ranksumex dprof, by (treatment)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       20       405.5         410
           2 |       20       414.5         410
-------------+---------------------------------
    combined |       40         820         820

unadjusted variance     1366.67
adjustment for ties       -0.38
                     ----------
adjusted variance       1366.28

Ho: dprof(treatm~t==1) = dprof(treatm~t==2)
             z =  -0.122
    Prob > |z| =   0.9031

. restore

. 
. **************************************************************************
> ******
. * Figure 2: Punishment Behavior
. **************************************************************************
> ******
. 
. * Figure 2.1: Punishment Assigned in single choice *
. xtline ave_institutionpunishment if period >10, ///
> overlay plot1opts(recast(connected) msymbol(o) lpattern(dash) lc(gs8) mc(g
> s8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(Average Punishment (Points)) ttitle(period) legend(on) i(institutio
> n) t(period) ///
> ylabel(0(1)3, nogrid)xlabel(10(1)20, nogrid) scheme(s1mono) ///
> legend(label(1 "Leviathan") label(2 "Democracy")) 

. 
. graph save Graph fig2.1s, replace
(note: file fig2.1s not found)
(file fig2.1s saved)

. graph export fig21s.eps, replace
(note: file fig21s.eps not found)
(file fig21s.eps written in EPS format)

. 
. by treatment period group, sort: egen float punish_fr = mean(punished)

. by treatment period group, sort: gen float manager_pun = (punish_fr>0 & pu
> nish_fr!=.)

. by treatment period, sort: egen float manager_pun_fr = mean(manager_pun)

. gen manager_pun_freq=100*manager_pun_fr

. 
. * Figure 2.2: Manager's use of punishment in single choice*
. xtline manager_pun_freq if period >10, overlay plot1opts(recast(connected)
>  ///
> msymbol(o) lpattern(dash) lc(gs8) mc(gs8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(% of managers that use punishment) ttitle(period) legend(on) i(inst
> itution) ///
> t(period) ylabel (0(20)100, nogrid) xlabel (10(1)20, nogrid) scheme(s1mono
> ) ///
> legend(label(1 "Leviathan") label(2 "Democracy")) 

. 
. graph save Graph fig2.2s, replace
(note: file fig2.2s not found)
(file fig2.2s saved)

. graph export fig22s.eps, replace
(note: file fig22s.eps not found)
(file fig22s.eps written in EPS format)

. 
. * Figure 2.3: Punished subjects frecuency by group
. by treatment period group, sort: egen float subject_punished = sum(punishe
> d)

. by treatment period, sort: egen float subject_punfr = mean(subject_punishe
> d)

. xtline subject_punfr if period >10, overlay plot1opts(recast(connected) //
> /
> msymbol(o) lpattern(dash) lc(gs8) mc(gs8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle("Average Number of Punished Subjects by Group") ttitle(period) lege
> nd(on) i(institution) ///
> t(period) ylabel (0(0.5)3, nogrid) xlabel (10(1)22, nogrid) scheme(s1mono)
>  ///
> legend(label(1 "Leviathan") label(2 "Democracy")) 

. 
. graph save Graph fig2.3, replace
(note: file fig2.3 not found)
(file fig2.3 saved)

. graph export fig23s.eps, replace
(note: file fig23s.eps not found)
(file fig23s.eps written in EPS format)

. 
. 
. **************************************************************************
> ******
. * Table 4 Determinants of contributions(SE clustered by group) ***********
> ******
. **************************************************************************
> ******
. 
. * Preparation for regression analysis
. * Demographic controls
. global control1 woman economist height age // no missing

. global control2  income bret public_school insurance other_city risk_avers
> ion ///
>                                  // some missing

. 
. * lag *
. bys subject (period): gen contribution_l = contribution[_n - 1]
(200 missing values generated)

. label var contribution_l "contribution (t-1)"

. 
. bys subject (period): gen ave_Othercontribution_l = ave_Othercontribution[
> _n - 1]
(200 missing values generated)

. label var ave_Othercontribution_l "Other members' Av.contribution(t-1)"

. 
. bys subject (period): gen punishment_l = punishment[_n - 1] // points assi
> gned to administrator
(2200 missing values generated)

. replace punishment_l=0 if missing(punishment_l)
(2200 real changes made)

. label var punishment_l "Punishment in the group (t-1)"

. 
. bys subject (period): gen punished_l = punished[_n - 1] // receibes punish
> ment
(200 missing values generated)

. replace punished_l=0 if missing(punished_l)
(200 real changes made)

. label var punished_l "Punishment Received (t-1)"

. 
. qui tab subject, gen(IDcode)

. local i=1

. while (`i'<=200){
  2. qui gen IDperiod`i' = IDcode`i'*period // 
  3. label variable IDperiod`i' "subject-Specific Time Trend for IDcode`i'"
  4. local i = `i' + 1
  5. }

. qui tab group, gen(groupcode)

. local i=1

. while (`i'<=40){
  2. qui gen groupperiod`i' = groupcode`i'*period // periodinphase
  3. label variable groupperiod`i' "group-Specific Time Trend for groupcode`
> i'"
  4. local i = `i' + 1
  5. }

. **************************************************************************
> ******
. *periodinphase
. **************************************************************************
> ******
. gen period1=period if phase==1
(2000 missing values generated)

. replace period1=0 if missing(period1)
(2000 real changes made)

. gen period2=period-10 if phase==2
(2001 missing values generated)

. replace period2=0 if missing(period2)
(2001 real changes made)

. gen periodinphase=period1+period2

. label var periodinphase "Period within phase"

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

. 
. * Regresions                                    
. eststo FEgt: xi: reg contribution dddem puntreat demtreat  ///
>                                         i.subject groupcode* periodinphase
> , ///
>                                         vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: _Isubject_10 omitted because of collinearity
note: _Isubject_13 omitted because of collinearity
note: _Isubject_18 omitted because of collinearity
note: _Isubject_23 omitted because of collinearity
note: _Isubject_28 omitted because of collinearity
note: _Isubject_32 omitted because of collinearity
note: _Isubject_36 omitted because of collinearity
note: _Isubject_43 omitted because of collinearity
note: _Isubject_48 omitted because of collinearity
note: _Isubject_53 omitted because of collinearity
note: _Isubject_58 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_68 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_78 omitted because of collinearity
note: _Isubject_83 omitted because of collinearity
note: _Isubject_87 omitted because of collinearity
note: _Isubject_93 omitted because of collinearity
note: _Isubject_98 omitted because of collinearity
note: _Isubject_103 omitted because of collinearity
note: _Isubject_107 omitted because of collinearity
note: _Isubject_112 omitted because of collinearity
note: _Isubject_117 omitted because of collinearity
note: _Isubject_122 omitted because of collinearity
note: _Isubject_128 omitted because of collinearity
note: _Isubject_133 omitted because of collinearity
note: _Isubject_138 omitted because of collinearity
note: _Isubject_143 omitted because of collinearity
note: _Isubject_147 omitted because of collinearity
note: _Isubject_153 omitted because of collinearity
note: _Isubject_158 omitted because of collinearity
note: _Isubject_163 omitted because of collinearity
note: _Isubject_168 omitted because of collinearity
note: _Isubject_173 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_183 omitted because of collinearity
note: _Isubject_187 omitted because of collinearity
note: _Isubject_193 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode1 omitted because of collinearity
note: groupcode2 omitted because of collinearity

Linear regression                                      Number of obs =    40
> 00
                                                       F(  2,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.42
> 33
                                                       Root MSE      =  4.80
> 54

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |   .1784816    .903485     0.20   0.844    -1.648989    2.0059
> 52
    puntreat |   2.867518   .6079962     4.72   0.000      1.63773    4.0973
> 07
    demtreat |  -2.439241   .4517425    -5.40   0.000    -3.352976   -1.5255
> 05
 _Isubject_2 |         -4   3.62e-12 -1.1e+12   0.000           -4          
> -4
 _Isubject_3 |       3.95   2.39e-12  1.7e+12   0.000         3.95        3.
> 95
 _Isubject_4 |      -1.65   3.25e-12 -5.1e+11   0.000        -1.65       -1.
> 65
 _Isubject_5 |       -.15   2.92e-12 -5.1e+10   0.000         -.15        -.
> 15
 _Isubject_6 |       -2.6   1.41e-12 -1.8e+12   0.000         -2.6        -2
> .6
 _Isubject_7 |        1.3   1.14e-12  1.1e+12   0.000          1.3         1
> .3
 _Isubject_8 |      -4.65   1.72e-12 -2.7e+12   0.000        -4.65       -4.
> 65
 _Isubject_9 |       1.75   1.12e-12  1.6e+12   0.000         1.75        1.
> 75
_Isubject_10 |          0  (omitted)
_Isubject_11 |       4.25   6.07e-13  7.0e+12   0.000         4.25        4.
> 25
_Isubject_12 |       5.35   4.75e-13  1.1e+13   0.000         5.35        5.
> 35
_Isubject_13 |          0  (omitted)
_Isubject_14 |       7.85   3.34e-13  2.4e+13   0.000         7.85        7.
> 85
_Isubject_15 |        .35   1.18e-12  3.0e+11   0.000          .35         .
> 35
_Isubject_16 |        1.4   6.07e-13  2.3e+12   0.000          1.4         1
> .4
_Isubject_17 |       -2.8   3.36e-13 -8.3e+12   0.000         -2.8        -2
> .8
_Isubject_18 |          0  (omitted)
_Isubject_19 |          4   9.91e-13  4.0e+12   0.000            4          
>  4
_Isubject_20 |       -4.7   5.17e-13 -9.1e+12   0.000         -4.7        -4
> .7
_Isubject_21 |        4.5   2.47e-12  1.8e+12   0.000          4.5         4
> .5
_Isubject_22 |       3.35   2.67e-12  1.3e+12   0.000         3.35        3.
> 35
_Isubject_23 |          0  (omitted)
_Isubject_24 |        1.3   3.03e-12  4.3e+11   0.000          1.3         1
> .3
_Isubject_25 |        1.5   2.96e-12  5.1e+11   0.000          1.5         1
> .5
_Isubject_26 |        9.3   5.60e-12  1.7e+12   0.000          9.3         9
> .3
_Isubject_27 |       8.75   5.50e-12  1.6e+12   0.000         8.75        8.
> 75
_Isubject_28 |          0  (omitted)
_Isubject_29 |        .15   4.01e-12  3.7e+10   0.000          .15         .
> 15
_Isubject_30 |       -4.4   3.25e-12 -1.4e+12   0.000         -4.4        -4
> .4
_Isubject_31 |      -4.15   5.44e-13 -7.6e+12   0.000        -4.15       -4.
> 15
_Isubject_32 |          0  (omitted)
_Isubject_33 |       -2.2   3.71e-13 -5.9e+12   0.000         -2.2        -2
> .2
_Isubject_34 |      -1.75   3.43e-13 -5.1e+12   0.000        -1.75       -1.
> 75
_Isubject_35 |      -1.15   3.03e-13 -3.8e+12   0.000        -1.15       -1.
> 15
_Isubject_36 |          0  (omitted)
_Isubject_37 |         .8   1.66e-12  4.8e+11   0.000           .8          
> .8
_Isubject_38 |        4.1   1.16e-12  3.5e+12   0.000          4.1         4
> .1
_Isubject_39 |        2.7   1.32e-12  2.0e+12   0.000          2.7         2
> .7
_Isubject_40 |        4.3   1.13e-12  3.8e+12   0.000          4.3         4
> .3
_Isubject_41 |       3.55   1.41e-12  2.5e+12   0.000         3.55        3.
> 55
_Isubject_42 |       4.95   1.21e-12  4.1e+12   0.000         4.95        4.
> 95
_Isubject_43 |          0  (omitted)
_Isubject_44 |        4.1   1.34e-12  3.1e+12   0.000          4.1         4
> .1
_Isubject_45 |       2.35   1.48e-12  1.6e+12   0.000         2.35        2.
> 35
_Isubject_46 |       -1.5   3.06e-12 -4.9e+11   0.000         -1.5        -1
> .5
_Isubject_47 |        3.1   3.58e-12  8.7e+11   0.000          3.1         3
> .1
_Isubject_48 |          0  (omitted)
_Isubject_49 |       1.25   3.33e-12  3.8e+11   0.000         1.25        1.
> 25
_Isubject_50 |       -2.5   2.89e-12 -8.6e+11   0.000         -2.5        -2
> .5
_Isubject_51 |         .4   8.90e-13  4.5e+11   0.000           .4          
> .4
_Isubject_52 |       -1.1   1.10e-12 -1.0e+12   0.000         -1.1        -1
> .1
_Isubject_53 |          0  (omitted)
_Isubject_54 |       -.55   1.03e-12 -5.3e+11   0.000         -.55        -.
> 55
_Isubject_55 |       1.45   8.54e-13  1.7e+12   0.000         1.45        1.
> 45
_Isubject_56 |         .8   2.44e-13  3.3e+12   0.000           .8          
> .8
_Isubject_57 |        -.4   3.20e-13 -1.3e+12   0.000          -.4         -
> .4
_Isubject_58 |          0  (omitted)
_Isubject_59 |        .95   2.45e-13  3.9e+12   0.000          .95         .
> 95
_Isubject_60 |          3   5.17e-13  5.8e+12   0.000            3          
>  3
_Isubject_61 |      -6.95   3.02e-13 -2.3e+13   0.000        -6.95       -6.
> 95
_Isubject_62 |      -7.85   4.17e-13 -1.9e+13   0.000        -7.85       -7.
> 85
_Isubject_63 |          0  (omitted)
_Isubject_64 |      -12.7   8.00e-13 -1.6e+13   0.000        -12.7       -12
> .7
_Isubject_65 |       -7.5   3.43e-13 -2.2e+13   0.000         -7.5        -7
> .5
_Isubject_66 |       2.35   2.25e-13  1.0e+13   0.000         2.35        2.
> 35
_Isubject_67 |       -3.1   6.70e-13 -4.6e+12   0.000         -3.1        -3
> .1
_Isubject_68 |          0  (omitted)
_Isubject_69 |       -.85   4.24e-13 -2.0e+12   0.000         -.85        -.
> 85
_Isubject_70 |        -.1   3.65e-13 -2.7e+11   0.000          -.1         -
> .1
_Isubject_71 |          2   2.24e-12  8.9e+11   0.000            2          
>  2
_Isubject_72 |       4.05   2.00e-12  2.0e+12   0.000         4.05        4.
> 05
_Isubject_73 |          0  (omitted)
_Isubject_74 |      15.45   5.43e-13  2.8e+13   0.000        15.45       15.
> 45
_Isubject_75 |       11.3   1.20e-12  9.4e+12   0.000         11.3        11
> .3
_Isubject_76 |       -5.2   1.24e-12 -4.2e+12   0.000         -5.2        -5
> .2
_Isubject_77 |      -4.55   1.31e-12 -3.5e+12   0.000        -4.55       -4.
> 55
_Isubject_78 |          0  (omitted)
_Isubject_79 |       -1.6   1.55e-12 -1.0e+12   0.000         -1.6        -1
> .6
_Isubject_80 |       -4.1   1.35e-12 -3.0e+12   0.000         -4.1        -4
> .1
_Isubject_81 |      -9.35   1.18e-12 -7.9e+12   0.000        -9.35       -9.
> 35
_Isubject_82 |      -7.65   1.26e-12 -6.1e+12   0.000        -7.65       -7.
> 65
_Isubject_83 |          0  (omitted)
_Isubject_84 |       -5.6   1.45e-12 -3.9e+12   0.000         -5.6        -5
> .6
_Isubject_85 |         -4   1.69e-12 -2.4e+12   0.000           -4          
> -4
_Isubject_86 |      -1.15   9.37e-13 -1.2e+12   0.000        -1.15       -1.
> 15
_Isubject_87 |          0  (omitted)
_Isubject_88 |       1.35   6.85e-13  2.0e+12   0.000         1.35        1.
> 35
_Isubject_89 |        -.9   8.85e-13 -1.0e+12   0.000          -.9         -
> .9
_Isubject_90 |        2.8   5.40e-13  5.2e+12   0.000          2.8         2
> .8
_Isubject_91 |         .6   2.11e-13  2.8e+12   0.000           .6          
> .6
_Isubject_92 |       -1.5   3.55e-13 -4.2e+12   0.000         -1.5        -1
> .5
_Isubject_93 |          0  (omitted)
_Isubject_94 |       -1.5   3.45e-13 -4.3e+12   0.000         -1.5        -1
> .5
_Isubject_95 |        1.6   1.76e-13  9.1e+12   0.000          1.6         1
> .6
_Isubject_96 |       1.15   1.33e-12  8.6e+11   0.000         1.15        1.
> 15
_Isubject_97 |        9.3   4.18e-13  2.2e+13   0.000          9.3         9
> .3
_Isubject_98 |          0  (omitted)
_Isubject_99 |        3.3   1.09e-12  3.0e+12   0.000          3.3         3
> .3
_Isubjec~100 |        -.2   1.47e-12 -1.4e+11   0.000          -.2         -
> .2
_Isubjec~101 |       3.35   2.95e-13  1.1e+13   0.000         3.35        3.
> 35
_Isubjec~102 |       -1.6   7.69e-13 -2.1e+12   0.000         -1.6        -1
> .6
_Isubjec~103 |          0  (omitted)
_Isubjec~104 |      -1.15   7.15e-13 -1.6e+12   0.000        -1.15       -1.
> 15
_Isubjec~105 |         -1   6.93e-13 -1.4e+12   0.000           -1          
> -1
_Isubjec~106 |      -1.65   2.30e-13 -7.2e+12   0.000        -1.65       -1.
> 65
_Isubjec~107 |          0  (omitted)
_Isubjec~108 |        1.3   1.34e-13  9.7e+12   0.000          1.3         1
> .3
_Isubjec~109 |      -3.25   4.07e-13 -8.0e+12   0.000        -3.25       -3.
> 25
_Isubjec~110 |      -2.75   3.68e-13 -7.5e+12   0.000        -2.75       -2.
> 75
_Isubjec~111 |        2.6   1.00e-12  2.6e+12   0.000          2.6         2
> .6
_Isubjec~112 |          0  (omitted)
_Isubjec~113 |         .9   1.11e-12  8.1e+11   0.000           .9          
> .9
_Isubjec~114 |      -1.55   1.28e-12 -1.2e+12   0.000        -1.55       -1.
> 55
_Isubjec~115 |         .5   1.12e-12  4.5e+11   0.000           .5          
> .5
_Isubjec~116 |       -3.7   1.50e-13 -2.5e+13   0.000         -3.7        -3
> .7
_Isubjec~117 |          0  (omitted)
_Isubjec~118 |        6.2   9.88e-13  6.3e+12   0.000          6.2         6
> .2
_Isubjec~119 |        3.1   5.85e-13  5.3e+12   0.000          3.1         3
> .1
_Isubjec~120 |        -.5   4.03e-13 -1.2e+12   0.000          -.5         -
> .5
_Isubjec~121 |         .2   1.37e-13  1.5e+12   0.000           .2          
> .2
_Isubjec~122 |          0  (omitted)
_Isubjec~123 |      -5.95   3.94e-13 -1.5e+13   0.000        -5.95       -5.
> 95
_Isubjec~124 |      -5.45   3.62e-13 -1.5e+13   0.000        -5.45       -5.
> 45
_Isubjec~125 |      -1.45   2.56e-13 -5.7e+12   0.000        -1.45       -1.
> 45
_Isubjec~126 |        3.1   8.28e-13  3.7e+12   0.000          3.1         3
> .1
_Isubjec~127 |        2.7   8.48e-13  3.2e+12   0.000          2.7         2
> .7
_Isubjec~128 |          0  (omitted)
_Isubjec~129 |        3.1   8.14e-13  3.8e+12   0.000          3.1         3
> .1
_Isubjec~130 |       4.45   7.43e-13  6.0e+12   0.000         4.45        4.
> 45
_Isubjec~131 |       -1.1   8.67e-13 -1.3e+12   0.000         -1.1        -1
> .1
_Isubjec~132 |      -3.65   1.05e-12 -3.5e+12   0.000        -3.65       -3.
> 65
_Isubjec~133 |          0  (omitted)
_Isubjec~134 |       -2.6   9.69e-13 -2.7e+12   0.000         -2.6        -2
> .6
_Isubjec~135 |      -5.35   1.14e-12 -4.7e+12   0.000        -5.35       -5.
> 35
_Isubjec~136 |         .4   1.42e-12  2.8e+11   0.000           .4          
> .4
_Isubjec~137 |        5.2   1.10e-12  4.7e+12   0.000          5.2         5
> .2
_Isubjec~138 |          0  (omitted)
_Isubjec~139 |       1.55   1.33e-12  1.2e+12   0.000         1.55        1.
> 55
_Isubjec~140 |       3.65   1.18e-12  3.1e+12   0.000         3.65        3.
> 65
_Isubjec~141 |       -4.1   1.98e-13 -2.1e+13   0.000         -4.1        -4
> .1
_Isubjec~142 |       2.35   4.47e-13  5.3e+12   0.000         2.35        2.
> 35
_Isubjec~143 |          0  (omitted)
_Isubjec~144 |       -5.6   1.12e-13 -5.0e+13   0.000         -5.6        -5
> .6
_Isubjec~145 |       2.35   4.32e-13  5.4e+12   0.000         2.35        2.
> 35
_Isubjec~146 |       -.85   5.53e-13 -1.5e+12   0.000         -.85        -.
> 85
_Isubjec~147 |          0  (omitted)
_Isubjec~148 |        1.3   4.32e-13  3.0e+12   0.000          1.3         1
> .3
_Isubjec~149 |        .15   4.77e-13  3.1e+11   0.000          .15         .
> 15
_Isubjec~150 |       -.55   5.05e-13 -1.1e+12   0.000         -.55        -.
> 55
_Isubjec~151 |       -1.7   2.19e-13 -7.8e+12   0.000         -1.7        -1
> .7
_Isubjec~152 |      -2.45   1.96e-13 -1.2e+13   0.000        -2.45       -2.
> 45
_Isubjec~153 |          0  (omitted)
_Isubjec~154 |      -4.75   9.95e-14 -4.8e+13   0.000        -4.75       -4.
> 75
_Isubjec~155 |        -.6   2.71e-13 -2.2e+12   0.000          -.6         -
> .6
_Isubjec~156 |      -1.35   4.14e-13 -3.3e+12   0.000        -1.35       -1.
> 35
_Isubjec~157 |         .4   3.35e-13  1.2e+12   0.000           .4          
> .4
_Isubjec~158 |          0  (omitted)
_Isubjec~159 |      -1.25   3.84e-13 -3.3e+12   0.000        -1.25       -1.
> 25
_Isubjec~160 |      -1.05   3.64e-13 -2.9e+12   0.000        -1.05       -1.
> 05
_Isubjec~161 |      -2.75   8.63e-14 -3.2e+13   0.000        -2.75       -2.
> 75
_Isubjec~162 |        .45   1.99e-13  2.3e+12   0.000          .45         .
> 45
_Isubjec~163 |          0  (omitted)
_Isubjec~164 |        -.3   1.84e-13 -1.6e+12   0.000          -.3         -
> .3
_Isubjec~165 |        1.7   2.49e-13  6.8e+12   0.000          1.7         1
> .7
_Isubjec~166 |        2.4   2.75e-13  8.7e+12   0.000          2.4         2
> .4
_Isubjec~167 |      -1.65   4.05e-13 -4.1e+12   0.000        -1.65       -1.
> 65
_Isubjec~168 |          0  (omitted)
_Isubjec~169 |       2.35   2.64e-13  8.9e+12   0.000         2.35        2.
> 35
_Isubjec~170 |       2.05   2.67e-13  7.7e+12   0.000         2.05        2.
> 05
_Isubjec~171 |       4.85   2.11e-13  2.3e+13   0.000         4.85        4.
> 85
_Isubjec~172 |        1.5   2.84e-13  5.3e+12   0.000          1.5         1
> .5
_Isubjec~173 |          0  (omitted)
_Isubjec~174 |        8.5   9.96e-14  8.5e+13   0.000          8.5         8
> .5
_Isubjec~175 |        5.9   1.33e-13  4.4e+13   0.000          5.9         5
> .9
_Isubjec~176 |        .05   9.92e-14  5.0e+11   0.000          .05         .
> 05
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |      -3.45   4.76e-14 -7.3e+13   0.000        -3.45       -3.
> 45
_Isubjec~179 |        .75   1.21e-13  6.2e+12   0.000          .75         .
> 75
_Isubjec~180 |         .4   1.21e-13  3.3e+12   0.000           .4          
> .4
_Isubjec~181 |       -3.2   1.10e-13 -2.9e+13   0.000         -3.2        -3
> .2
_Isubjec~182 |        .85   1.87e-13  4.6e+12   0.000          .85         .
> 85
_Isubjec~183 |          0  (omitted)
_Isubjec~184 |   1.347594   .0410216    32.85   0.000      1.26462    1.4305
> 68
_Isubjec~185 |      -4.65   1.54e-13 -3.0e+13   0.000        -4.65       -4.
> 65
_Isubjec~186 |       -.25   3.90e-13 -6.4e+11   0.000         -.25        -.
> 25
_Isubjec~187 |          0  (omitted)
_Isubjec~188 |      -1.55   3.80e-13 -4.1e+12   0.000        -1.55       -1.
> 55
_Isubjec~189 |        -.6   3.94e-13 -1.5e+12   0.000          -.6         -
> .6
_Isubjec~190 |          1   4.08e-13  2.4e+12   0.000            1          
>  1
_Isubjec~191 |       -1.8   4.80e-13 -3.7e+12   0.000         -1.8        -1
> .8
_Isubjec~192 |        4.1   5.13e-13  8.0e+12   0.000          4.1         4
> .1
_Isubjec~193 |          0  (omitted)
_Isubjec~194 |       2.05   4.97e-13  4.1e+12   0.000         2.05        2.
> 05
_Isubjec~195 |       -.65   4.94e-13 -1.3e+12   0.000         -.65        -.
> 65
_Isubjec~196 |       -.45   5.28e-13 -8.5e+11   0.000         -.45        -.
> 45
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |        1.6   5.37e-13  3.0e+12   0.000          1.6         1
> .6
_Isubjec~199 |        2.5   5.40e-13  4.6e+12   0.000          2.5         2
> .5
_Isubjec~200 |       4.75   5.39e-13  8.8e+12   0.000         4.75        4.
> 75
  groupcode1 |          0  (omitted)
  groupcode2 |          0  (omitted)
  groupcode3 |      -1.75   3.07e-12 -5.7e+11   0.000        -1.75       -1.
> 75
  groupcode4 |        1.6   3.00e-12  5.3e+11   0.000          1.6         1
> .6
  groupcode5 |       -4.9   3.07e-12 -1.6e+12   0.000         -4.9        -4
> .9
  groupcode6 |       1.45   4.83e-12  3.0e+11   0.000         1.45        1.
> 45
  groupcode7 |       2.25   1.44e-12  1.6e+12   0.000         2.25        2.
> 25
  groupcode8 |       -3.3   3.24e-12 -1.0e+12   0.000         -3.3        -3
> .3
  groupcode9 |       -3.2   2.15e-12 -1.5e+12   0.000         -3.2        -3
> .2
 groupcode10 |       3.35   4.33e-12  7.7e+11   0.000         3.35        3.
> 35
 groupcode11 |       -1.2   1.67e-12 -7.2e+11   0.000         -1.2        -1
> .2
 groupcode12 |       5.55   3.06e-12  1.8e+12   0.000         5.55        5.
> 55
 groupcode13 |        4.5   1.45e-12  3.1e+12   0.000          4.5         4
> .5
 groupcode14 |       -1.7   2.97e-12 -5.7e+11   0.000         -1.7        -1
> .7
 groupcode15 |       -7.6   2.23e-12 -3.4e+12   0.000         -7.6        -7
> .6
 groupcode16 |       5.95   3.27e-12  1.8e+12   0.000         5.95        5.
> 95
 groupcode17 |        8.6   1.74e-12  4.9e+12   0.000          8.6         8
> .6
 groupcode18 |       -4.3   3.00e-12 -1.4e+12   0.000         -4.3        -4
> .3
 groupcode19 |       -2.1   2.95e-12 -7.1e+11   0.000         -2.1        -2
> .1
 groupcode20 |        1.2   2.15e-12  5.6e+11   0.000          1.2         1
> .2
 groupcode21 |       -3.9   2.99e-12 -1.3e+12   0.000         -3.9        -3
> .9
 groupcode22 |        1.3   2.95e-12  4.4e+11   0.000          1.3         1
> .3
 groupcode23 |      -6.35   1.49e-12 -4.3e+12   0.000        -6.35       -6.
> 35
 groupcode24 |       1.65   3.00e-12  5.5e+11   0.000         1.65        1.
> 65
 groupcode25 |      -3.25   1.31e-12 -2.5e+12   0.000        -3.25       -3.
> 25
 groupcode26 |       -4.7   1.42e-12 -3.3e+12   0.000         -4.7        -4
> .7
 groupcode27 |         -1   1.44e-12 -6.9e+11   0.000           -1          
> -1
 groupcode28 |       -6.1   1.59e-12 -3.8e+12   0.000         -6.1        -6
> .1
 groupcode29 |       3.45   2.97e-12  1.2e+12   0.000         3.45        3.
> 45
 groupcode30 |       -5.4   1.28e-12 -4.2e+12   0.000         -5.4        -5
> .4
 groupcode31 |        2.2   2.95e-12  7.5e+11   0.000          2.2         2
> .2
 groupcode32 |      -5.35   1.28e-12 -4.2e+12   0.000        -5.35       -5.
> 35
 groupcode33 |       -.05   2.94e-12 -1.7e+10   0.000         -.05        -.
> 05
 groupcode34 |      -4.05   1.28e-12 -3.2e+12   0.000        -4.05       -4.
> 05
 groupcode35 |         -9   1.24e-12 -7.3e+12   0.000           -9          
> -9
 groupcode36 |       -1.2   2.91e-12 -4.1e+11   0.000         -1.2        -1
> .2
 groupcode37 |      -4.85   1.30e-12 -3.7e+12   0.000        -4.85       -4.
> 85
 groupcode38 |         .8   2.92e-12  2.7e+11   0.000           .8          
> .8
 groupcode39 |        .05   1.32e-12  3.8e+10   0.000          .05         .
> 05
 groupcode40 |   3.20e-12   2.99e-12     1.07   0.291    -2.85e-12    9.25e-
> 12
periodinph~e |  -.1308057   .0506971    -2.58   0.014    -.2333503   -.02826
> 12
       _cons |   8.785672   .4897954    17.94   0.000     7.794968    9.7763
> 77
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. eststo FEgtc: xi: reg contribution dddem puntreat demtreat  ///
>                                         i.subject groupcode* ///
>                                         ave_Othercontribution_l punishment
> _l punished_l, ///
>                                         vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: _Isubject_6 omitted because of collinearity
note: _Isubject_14 omitted because of collinearity
note: _Isubject_20 omitted because of collinearity
note: _Isubject_21 omitted because of collinearity
note: _Isubject_27 omitted because of collinearity
note: _Isubject_31 omitted because of collinearity
note: _Isubject_38 omitted because of collinearity
note: _Isubject_41 omitted because of collinearity
note: _Isubject_47 omitted because of collinearity
note: _Isubject_54 omitted because of collinearity
note: _Isubject_58 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_66 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_76 omitted because of collinearity
note: _Isubject_82 omitted because of collinearity
note: _Isubject_86 omitted because of collinearity
note: _Isubject_94 omitted because of collinearity
note: _Isubject_100 omitted because of collinearity
note: _Isubject_105 omitted because of collinearity
note: _Isubject_108 omitted because of collinearity
note: _Isubject_111 omitted because of collinearity
note: _Isubject_118 omitted because of collinearity
note: _Isubject_123 omitted because of collinearity
note: _Isubject_127 omitted because of collinearity
note: _Isubject_135 omitted because of collinearity
note: _Isubject_138 omitted because of collinearity
note: _Isubject_144 omitted because of collinearity
note: _Isubject_146 omitted because of collinearity
note: _Isubject_151 omitted because of collinearity
note: _Isubject_157 omitted because of collinearity
note: _Isubject_161 omitted because of collinearity
note: _Isubject_168 omitted because of collinearity
note: _Isubject_175 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_184 omitted because of collinearity
note: _Isubject_189 omitted because of collinearity
note: _Isubject_191 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode20 omitted because of collinearity
note: groupcode21 omitted because of collinearity

Linear regression                                      Number of obs =    38
> 00
                                                       F(  4,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.47
> 12
                                                       Root MSE      =  4.64
> 86

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |   .1635635    .592041     0.28   0.784    -1.033953     1.361
> 08
    puntreat |   2.151032   .3939565     5.46   0.000      1.35418    2.9478
> 85
    demtreat |  -4.829509   .6498441    -7.43   0.000    -6.143943   -3.5150
> 75
 _Isubject_2 |  -4.271616   .0728229   -58.66   0.000    -4.418915   -4.1243
> 18
 _Isubject_3 |    4.61994    .069173    66.79   0.000     4.480025    4.7598
> 56
 _Isubject_4 |  -1.339689    .027548   -48.63   0.000     -1.39541   -1.2839
> 68
 _Isubject_5 |   .1687972   .0393491     4.29   0.000     .0892062    .24838
> 83
 _Isubject_6 |          0  (omitted)
 _Isubject_7 |   3.904105   .1690931    23.09   0.000     3.562082    4.2461
> 28
 _Isubject_8 |  -1.862578   .0675186   -27.59   0.000    -1.999147   -1.7260
> 09
 _Isubject_9 |   4.869254   .1174097    41.47   0.000      4.63177    5.1067
> 37
_Isubject_10 |   3.250478   .0746785    43.53   0.000     3.099426    3.4015
> 29
_Isubject_11 |   -3.83687   .0719536   -53.32   0.000     -3.98241    -3.691
> 33
_Isubject_12 |  -2.566125   .0308846   -83.09   0.000    -2.628595   -2.5036
> 55
_Isubject_13 |  -8.354033   .1888814   -44.23   0.000    -8.736082   -7.9719
> 85
_Isubject_14 |          0  (omitted)
_Isubject_15 |  -7.803893   .0944986   -82.58   0.000    -7.995034   -7.6127
> 52
_Isubject_16 |   6.276377   .2525547    24.85   0.000     5.765537    6.7872
> 17
_Isubject_17 |   1.633568   .1851734     8.82   0.000     1.259019    2.0081
> 16
_Isubject_18 |   4.767135   .2083033    22.89   0.000     4.345802    5.1884
> 68
_Isubject_19 |   9.001191   .2638948    34.11   0.000     8.467413    9.5349
> 68
_Isubject_20 |          0  (omitted)
_Isubject_21 |          0  (omitted)
_Isubject_22 |  -1.591207   .0790869   -20.12   0.000    -1.751175   -1.4312
> 39
_Isubject_23 |  -4.711765   .0961293   -49.01   0.000    -4.906205   -4.5173
> 25
_Isubject_24 |  -3.548469   .0743632   -47.72   0.000    -3.698882   -3.3980
> 55
_Isubject_25 |  -3.195449   .1445165   -22.11   0.000    -3.487761   -2.9031
> 37
_Isubject_26 |   .0176107    .057098     0.31   0.759    -.0978808    .13310
> 23
_Isubject_27 |          0  (omitted)
_Isubject_28 |  -10.08893   .2081214   -48.48   0.000    -10.50989   -9.6679
> 64
_Isubject_29 |  -9.720833   .1084111   -89.67   0.000    -9.940115   -9.5015
> 51
_Isubject_30 |  -15.02519   .2883679   -52.10   0.000    -15.60847   -14.441
> 91
_Isubject_31 |          0  (omitted)
_Isubject_32 |   5.329266      .1185    44.97   0.000     5.089577    5.5689
> 55
_Isubject_33 |   2.425848   .0284532    85.26   0.000     2.368296      2.48
> 34
_Isubject_34 |   3.041998   .0436735    69.65   0.000      2.95366    3.1303
> 36
_Isubject_35 |   3.738078   .1139859    32.79   0.000     3.507519    3.9686
> 36
_Isubject_36 |  -4.201871   .0763179   -55.06   0.000    -4.356239   -4.0475
> 03
_Isubject_37 |  -3.249996   .0746437   -43.54   0.000    -3.400977   -3.0990
> 15
_Isubject_38 |          0  (omitted)
_Isubject_39 |  -1.547853   .0836369   -18.51   0.000    -1.717024   -1.3786
> 81
_Isubject_40 |   .5459388   .0642425     8.50   0.000      .415996    .67588
> 15
_Isubject_41 |          0  (omitted)
_Isubject_42 |   2.060662   .1080708    19.07   0.000     1.842068    2.2792
> 56
_Isubject_43 |  -3.611303   .0625671   -57.72   0.000    -3.737857   -3.4847
> 49
_Isubject_44 |   .8670054   .1065888     8.13   0.000     .6514091    1.0826
> 02
_Isubject_45 |  -.9571684   .1011361    -9.46   0.000    -1.161736   -.75260
> 13
_Isubject_46 |  -5.030587   .1814241   -27.73   0.000    -5.397552   -4.6636
> 22
_Isubject_47 |          0  (omitted)
_Isubject_48 |  -3.024249    .179507   -16.85   0.000    -3.387336   -2.6611
> 62
_Isubject_49 |  -1.849004   .1787328   -10.35   0.000    -2.210525   -1.4874
> 83
_Isubject_50 |  -5.623025   .1469494   -38.27   0.000    -5.920258   -5.3257
> 91
_Isubject_51 |    1.01299   .0205516    49.29   0.000     .9714202    1.0545
> 59
_Isubject_52 |  -.4911363   .0203658   -24.12   0.000      -.53233   -.44994
> 26
_Isubject_53 |   .5403554   .0319775    16.90   0.000     .4756747    .60503
> 61
_Isubject_54 |          0  (omitted)
_Isubject_55 |   2.206307   .0817101    27.00   0.000     2.041033    2.3715
> 82
_Isubject_56 |   1.178728   .0627275    18.79   0.000      1.05185    1.3056
> 07
_Isubject_57 |  -.0188339   .1150891    -0.16   0.871    -.2516236    .21395
> 58
_Isubject_58 |          0  (omitted)
_Isubject_59 |    .914329   .0755286    12.11   0.000      .761558      1.06
> 71
_Isubject_60 |   2.802395   .0519756    53.92   0.000     2.697264    2.9075
> 25
_Isubject_61 |  -8.447139   .1344725   -62.82   0.000    -8.719135   -8.1751
> 43
_Isubject_62 |   -8.88631    .165015   -53.85   0.000    -9.220084   -8.5525
> 36
_Isubject_63 |          0  (omitted)
_Isubject_64 |  -14.40918     .21712   -66.37   0.000    -14.84835   -13.970
> 02
_Isubject_65 |  -8.717038   .1334512   -65.32   0.000    -8.986969   -8.4471
> 08
_Isubject_66 |          0  (omitted)
_Isubject_67 |  -5.785915   .1004426   -57.60   0.000    -5.989079   -5.5827
> 51
_Isubject_68 |  -2.473524   .0687776   -35.96   0.000     -2.61264   -2.3344
> 09
_Isubject_69 |  -3.457595   .0741457   -46.63   0.000    -3.607569   -3.3076
> 22
_Isubject_70 |  -2.330264   .0696123   -33.47   0.000    -2.471068    -2.189
> 46
_Isubject_71 |   3.172957   .1524284    20.82   0.000     2.864641    3.4812
> 72
_Isubject_72 |   5.341064   .2142265    24.93   0.000      4.90775    5.7743
> 78
_Isubject_73 |          0  (omitted)
_Isubject_74 |   17.54203   .3097533    56.63   0.000     16.91549    18.168
> 56
_Isubject_75 |   13.29121   .2773488    47.92   0.000     12.73022     13.85
> 22
_Isubject_76 |          0  (omitted)
_Isubject_77 |   .2040368   .1470327     1.39   0.173    -.0933649    .50143
> 86
_Isubject_78 |   5.166123   .0735363    70.25   0.000     5.017382    5.3148
> 65
_Isubject_79 |   3.589122   .0685384    52.37   0.000      3.45049    3.7277
> 54
_Isubject_80 |   1.139362    .069828    16.32   0.000     .9981216    1.2806
> 03
_Isubject_81 |  -1.773514   .0715642   -24.78   0.000    -1.918266   -1.6287
> 62
_Isubject_82 |          0  (omitted)
_Isubject_83 |   8.325863   .1670174    49.85   0.000     7.988039    8.6636
> 88
_Isubject_84 |   1.978318     .08405    23.54   0.000     1.808311    2.1483
> 25
_Isubject_85 |   3.811889   .1426411    26.72   0.000     3.523371    4.1004
> 08
_Isubject_86 |          0  (omitted)
_Isubject_87 |   1.588251   .0513584    30.92   0.000     1.484368    1.6921
> 33
_Isubject_88 |   2.618756   .0308846    84.79   0.000     2.556286    2.6812
> 26
_Isubject_89 |    .296475   .0635453     4.67   0.000     .1679425    .42500
> 75
_Isubject_90 |   4.291533   .0687264    62.44   0.000     4.152521    4.4305
> 46
_Isubject_91 |   2.768687   .0844922    32.77   0.000     2.597785    2.9395
> 88
_Isubject_92 |   .0697001   .0300746     2.32   0.026     .0088685    .13053
> 17
_Isubject_93 |    1.82142    .065001    28.02   0.000     1.689943    1.9528
> 97
_Isubject_94 |          0  (omitted)
_Isubject_95 |   3.739564   .1033375    36.19   0.000     3.530544    3.9485
> 84
_Isubject_96 |   1.218358   .0773218    15.76   0.000      1.06196    1.3747
> 56
_Isubject_97 |   10.03431   .2169343    46.26   0.000     9.595517     10.47
> 31
_Isubject_98 |   .4054394   .0984889     4.12   0.000     .2062269     .6046
> 52
_Isubject_99 |   4.158084   .1774961    23.43   0.000     3.799064    4.5171
> 04
_Isubjec~100 |          0  (omitted)
_Isubjec~101 |   4.740782   .1086705    43.63   0.000     4.520975    4.9605
> 89
_Isubjec~102 |  -.7598887    .087475    -8.69   0.000    -.9368236   -.58295
> 38
_Isubjec~103 |   1.087806     .09039    12.03   0.000      .904975    1.2706
> 37
_Isubjec~104 |  -.2209359   .0243901    -9.06   0.000    -.2702696   -.17160
> 22
_Isubjec~105 |          0  (omitted)
_Isubjec~106 |  -3.349703    .071406   -46.91   0.000    -3.494135    -3.205
> 27
_Isubjec~107 |  -1.480816   .0138665  -106.79   0.000    -1.508864   -1.4527
> 69
_Isubjec~108 |          0  (omitted)
_Isubjec~109 |  -5.684046   .1328539   -42.78   0.000    -5.952768   -5.4153
> 23
_Isubjec~110 |  -4.588155    .078943   -58.12   0.000    -4.747832   -4.4284
> 77
_Isubjec~111 |          0  (omitted)
_Isubjec~112 |  -2.989129   .0833839   -35.85   0.000    -3.157789    -2.820
> 47
_Isubjec~113 |  -1.973393   .0226907   -86.97   0.000     -2.01929   -1.9274
> 97
_Isubjec~114 |  -4.285412   .1043644   -41.06   0.000    -4.496508   -4.0743
> 15
_Isubjec~115 |  -2.411469   .0538413   -44.79   0.000    -2.520373   -2.3025
> 65
_Isubjec~116 |  -10.90756   .2772039   -39.35   0.000    -11.46825   -10.346
> 86
_Isubjec~117 |  -7.575434   .0801348   -94.53   0.000    -7.737522   -7.4133
> 46
_Isubjec~118 |          0  (omitted)
_Isubjec~119 |  -3.843067   .0390784   -98.34   0.000     -3.92211   -3.7640
> 23
_Isubjec~120 |  -7.701715   .0827283   -93.10   0.000    -7.869049   -7.5343
> 82
_Isubjec~121 |   6.384315   .2080982    30.68   0.000     5.963397    6.8052
> 34
_Isubjec~122 |   5.887513   .1996355    29.49   0.000     5.483712    6.2913
> 14
_Isubjec~123 |          0  (omitted)
_Isubjec~124 |   .5276999   .0434194    12.15   0.000     .4398758    .61552
> 39
_Isubjec~125 |    4.63746   .1642314    28.24   0.000      4.30527    4.9696
> 49
_Isubjec~126 |   .3638124   .0423813     8.58   0.000     .2780881    .44953
> 67
_Isubjec~127 |          0  (omitted)
_Isubjec~128 |   -3.20422   .1483132   -21.60   0.000    -3.504212   -2.9042
> 29
_Isubjec~129 |    .480042   .0438628    10.94   0.000     .3913212    .56876
> 28
_Isubjec~130 |   1.853612   .1125919    16.46   0.000     1.625874    2.0813
> 51
_Isubjec~131 |   4.617521   .1079709    42.77   0.000     4.399129    4.8359
> 13
_Isubjec~132 |   1.669127   .0494756    33.74   0.000     1.569053    1.7692
> 01
_Isubjec~133 |   5.634871   .1157075    48.70   0.000     5.400831    5.8689
> 11
_Isubjec~134 |   2.521284   .0339386    74.29   0.000     2.452637    2.5899
> 32
_Isubjec~135 |          0  (omitted)
_Isubjec~136 |  -.0210378   .0269872    -0.78   0.440    -.0756246     .0335
> 49
_Isubjec~137 |   5.425688   .0935418    58.00   0.000     5.236482    5.6148
> 94
_Isubjec~138 |          0  (omitted)
_Isubjec~139 |   1.282889   .0264695    48.47   0.000     1.229349    1.3364
> 29
_Isubjec~140 |   3.696529   .0478436    77.26   0.000     3.599756    3.7933
> 02
_Isubjec~141 |    1.37164   .2035178     6.74   0.000     .9599865    1.7832
> 94
_Isubjec~142 |   8.204174   .2191488    37.44   0.000     7.760904    8.6474
> 45
_Isubjec~143 |   6.216248   .2035203    30.54   0.000      5.80459    6.6279
> 07
_Isubjec~144 |          0  (omitted)
_Isubjec~145 |   8.495701    .274787    30.92   0.000     7.939892    9.0515
> 11
_Isubjec~146 |          0  (omitted)
_Isubjec~147 |   1.032511    .140865     7.33   0.000     .7475843    1.3174
> 37
_Isubjec~148 |   2.851095   .1424987    20.01   0.000     2.562864    3.1393
> 26
_Isubjec~149 |   1.319069   .1002443    13.16   0.000     1.116306    1.5218
> 32
_Isubjec~150 |   .7928738   .1399407     5.67   0.000     .5098169    1.0759
> 31
_Isubjec~151 |          0  (omitted)
_Isubjec~152 |  -1.012497   .0334671   -30.25   0.000     -1.08019   -.94480
> 32
_Isubjec~153 |   1.531951   .0422068    36.30   0.000     1.446579    1.6173
> 22
_Isubjec~154 |  -3.549917   .1429115   -24.84   0.000    -3.838982   -3.2608
> 51
_Isubjec~155 |   1.635382   .0482423    33.90   0.000     1.537803    1.7329
> 62
_Isubjec~156 |  -1.754364    .126911   -13.82   0.000    -2.011066   -1.4976
> 62
_Isubjec~157 |          0  (omitted)
_Isubjec~158 |  -.7923208   .1171869    -6.76   0.000    -1.029354   -.55528
> 79
_Isubjec~159 |  -1.621349   .0251689   -64.42   0.000    -1.672258    -1.570
> 44
_Isubjec~160 |  -1.814832   .1134607   -16.00   0.000    -2.044328   -1.5853
> 37
_Isubjec~161 |          0  (omitted)
_Isubjec~162 |   3.466809   .0435015    79.69   0.000     3.378819    3.5547
> 99
_Isubjec~163 |   2.569999   .0791176    32.48   0.000     2.409969     2.730
> 03
_Isubjec~164 |    2.50279   .0780148    32.08   0.000      2.34499     2.660
> 59
_Isubjec~165 |    4.55779   .1053322    43.27   0.000     4.344736    4.7708
> 45
_Isubjec~166 |   2.570793   .0798953    32.18   0.000      2.40919    2.7323
> 97
_Isubjec~167 |  -1.709536   .0717182   -23.84   0.000      -1.8546   -1.5644
> 72
_Isubjec~168 |          0  (omitted)
_Isubjec~169 |   2.548578   .1019481    25.00   0.000     2.342368    2.7547
> 87
_Isubjec~170 |   2.287693   .0723351    31.63   0.000     2.141381    2.4340
> 05
_Isubjec~171 |  -1.457898    .034438   -42.33   0.000    -1.527555    -1.388
> 24
_Isubjec~172 |  -5.304832   .0775327   -68.42   0.000    -5.461656   -5.1480
> 07
_Isubjec~173 |  -6.747102   .1023039   -65.95   0.000    -6.954031   -6.5401
> 72
_Isubjec~174 |    2.74017    .117187    23.38   0.000     2.503137    2.9772
> 03
_Isubjec~175 |          0  (omitted)
_Isubjec~176 |   .0323951   .0303929     1.07   0.293    -.0290804    .09387
> 07
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |  -4.037465   .0628774   -64.21   0.000    -4.164646   -3.9102
> 83
_Isubjec~179 |   1.332206    .082024    16.24   0.000     1.166297    1.4981
> 16
_Isubjec~180 |  -.1518874   .1041236    -1.46   0.153    -.3624972    .05872
> 23
_Isubjec~181 |  -5.464182   .0543687  -100.50   0.000    -5.574153   -5.3542
> 11
_Isubjec~182 |  -.8127494   .0208631   -38.96   0.000     -.854949   -.77054
> 98
_Isubjec~183 |  -1.505635   .0229818   -65.51   0.000     -1.55212    -1.459
> 15
_Isubjec~184 |          0  (omitted)
_Isubjec~185 |   -6.61234   .0716065   -92.34   0.000    -6.757178   -6.4675
> 02
_Isubjec~186 |   .4521916   .0681356     6.64   0.000     .3143744    .59000
> 88
_Isubjec~187 |   .7742822   .0347928    22.25   0.000     .7039071    .84465
> 73
_Isubjec~188 |  -.8040062   .0182698   -44.01   0.000    -.8409603   -.76705
> 22
_Isubjec~189 |          0  (omitted)
_Isubjec~190 |   1.565125   .1019654    15.35   0.000     1.358881     1.771
> 37
_Isubjec~191 |          0  (omitted)
_Isubjec~192 |   6.875084   .0725698    94.74   0.000     6.728298    7.0218
> 71
_Isubjec~193 |   2.042894   .0182786   111.76   0.000     2.005922    2.0798
> 66
_Isubjec~194 |   4.414415   .0539943    81.76   0.000     4.305201    4.5236
> 28
_Isubjec~195 |   1.274259   .0185523    68.68   0.000     1.236734    1.3117
> 85
_Isubjec~196 |  -.2632936   .2185589    -1.20   0.236    -.7053707    .17878
> 36
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |   2.064398   .2525396     8.17   0.000     1.553588    2.5752
> 07
_Isubjec~199 |   2.613172   .2568406    10.17   0.000     2.093663    3.1326
> 82
_Isubjec~200 |   5.517065   .2662649    20.72   0.000     4.978493    6.0556
> 37
  groupcode1 |   3.198258   .1693285    18.89   0.000     2.855759    3.5407
> 57
  groupcode2 |  -2.302332   .2450604    -9.39   0.000    -2.798013    -1.806
> 65
  groupcode3 |   9.369679   .2023976    46.29   0.000     8.960291    9.7790
> 66
  groupcode4 |   .0233198   .3355388     0.07   0.945    -.6553715    .70201
> 11
  groupcode5 |   1.166255   .4301523     2.71   0.010     .2961895     2.036
> 32
  groupcode6 |   13.08831     .31408    41.67   0.000     12.45302     13.72
> 36
  groupcode7 |  -1.991612   .2482134    -8.02   0.000    -2.493671   -1.4895
> 53
  groupcode8 |   4.719587   .1381035    34.17   0.000     4.440246    4.9989
> 27
  groupcode9 |   .5488249   .2363402     2.32   0.026     .0707817    1.0268
> 68
 groupcode10 |   8.923531   .3229631    27.63   0.000     8.270276    9.5767
> 85
 groupcode11 |   -1.05065   .3146308    -3.34   0.002    -1.687051   -.41424
> 95
 groupcode12 |   6.875423     .48935    14.05   0.000     5.885619    7.8652
> 26
 groupcode13 |   6.952511   .4768127    14.58   0.000     5.988066    7.9169
> 56
 groupcode14 |    5.16454   .0932862    55.36   0.000     4.975851    5.3532
> 29
 groupcode15 |   -8.30473   .1825977   -45.48   0.000    -8.674068   -7.9353
> 91
 groupcode16 |   3.384726   .3414136     9.91   0.000     2.694152      4.07
> 53
 groupcode17 |   .2061303   .0688102     3.00   0.005     .0669485    .34531
> 21
 groupcode18 |  -.7481282   .0874608    -8.55   0.000    -.9250343   -.57122
> 21
 groupcode19 |   .2584067   .0893251     2.89   0.006     .0777297    .43908
> 37
 groupcode20 |          0  (omitted)
 groupcode21 |          0  (omitted)
 groupcode22 |   6.363988   .1631863    39.00   0.000     6.033913    6.6940
> 64
 groupcode23 |  -1.241216   .5601202    -2.22   0.033    -2.374166   -.10826
> 58
 groupcode24 |   11.47398   .2382406    48.16   0.000     10.99209    11.955
> 87
 groupcode25 |  -6.893798   .4387464   -15.71   0.000    -7.781246    -6.006
> 35
 groupcode26 |  -1.009024    .321652    -3.14   0.003    -1.659627    -.3584
> 22
 groupcode27 |  -4.890731   .3740171   -13.08   0.000    -5.647252    -4.134
> 21
 groupcode28 |  -4.402583   .4170922   -10.56   0.000    -5.246232   -3.5589
> 35
 groupcode29 |   .5623354   .3963149     1.42   0.164    -.2392872    1.3639
> 58
 groupcode30 |  -4.268036   .4769186    -8.95   0.000    -5.232695   -3.3033
> 77
 groupcode31 |   4.028825   .1877513    21.46   0.000     3.649063    4.4085
> 88
 groupcode32 |  -2.256542   .5583136    -4.04   0.000    -3.385838   -1.1272
> 47
 groupcode33 |   .8828313    .188622     4.68   0.000     .5013074    1.2643
> 55
 groupcode34 |  -2.791615   .3562771    -7.84   0.000    -3.512254   -2.0709
> 77
 groupcode35 |  -.7902328   .5227911    -1.51   0.139    -1.847678    .26721
> 21
 groupcode36 |   2.860194   .1122177    25.49   0.000     2.633212    3.0871
> 76
 groupcode37 |  -.6660799   .5640945    -1.18   0.245    -1.807069    .47490
> 89
 groupcode38 |   3.423853      .2081    16.45   0.000     3.002931    3.8447
> 75
 groupcode39 |  -2.221718   .2261712    -9.82   0.000    -2.679192   -1.7642
> 43
 groupcode40 |   2.991616   .3403583     8.79   0.000     2.303176    3.6800
> 55
ave_Otherc~l |   .3882751   .0479026     8.11   0.000      .291383    .48516
> 73
punishment_l |  -.1573984   .1315991    -1.20   0.239    -.4235827    .10878
> 59
  punished_l |   .3657604   .4246616     0.86   0.394    -.4931988     1.224
> 72
       _cons |   4.434822   .7243683     6.12   0.000     2.969649    5.8999
> 95
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. esttab FEgt FEgtc using tab4s.tex, replace /// Table size adjusted manuall
> y with \adjustbox
>                                 title("Determinants of contributions: regr
> ession results" \label{tab4}) ///
>                                 label mti b(4) se(4) star(* 0.10 ** 0.05 *
> ** 0.01) ///
>                                 obslast keep(dddem puntreat demtreat ave_O
> thercontribution_l punishment_l punished_l) ///
>                                 scalars("cont Other Controls" "ife Individ
> ual FE" "gfe group FE" "trend Trend within phase" "r2 R-squared" "N Observ
> ations") ///
>                                 nonotes addnotes("Notes: Dependent variabl
> e=contributions (ECU)." "Other controls include: gender, economics's stude
> nt, parent's education and labor status, and income related information," 
> "member of student union, whether the student is a single child, has a sch
> olarship, has a job, ethnicity, partymember and student leader." "Standard
>  errors clustered at group level in parenthesis." "\hspace{.2cm} \sym{*} S
> ignificant at the  10 percent level." "\hspace{.05cm} \sym{**} Significant
>  at the \hspace{.05cm} 5 percent level." "\sym{***} Significant at the \hs
> pace{.05cm} 1 percent level.")
(note: file tab4s.tex not found)
(output written to tab4s.tex)

. 
. est clear

. 
. **************************************************************************
> ******
. *Table 5: Punishing decisions 
. **************************************************************************
> ******
. gen devothers = contribution - ave_Othercontribution

. label var devothers "OMC deviation"

. gen absdev = abs(devothers)

. gen posdev = devothers if devothers>0
(2136 missing values generated)

. replace posdev = 0 if posdev ==.
(2136 real changes made)

. label var posdev "OMC positive deviation"

. gen negdev = abs(devothers) if devothers<0
(1974 missing values generated)

. replace negdev = 0 if negdev ==.
(1974 real changes made)

. label var negdev "OMC negative deviation"

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

.                                 
. eststo re2: xi: qui xtreg punishment demtreat negdev posdev if punished, /
> //
>                                 re vce(cluster group)

. eststo punishb: qui xtprobit punished demtreat negdev posdev if puntreat, 
> pa

.                                 margins, dydx(*)

Average marginal effects                          Number of obs   =       19
> 99
Model VCE    : Conventional

Expression   : Pr(punished != 0), predict()
dy/dx w.r.t. : demtreat negdev posdev

----------------------------------------------------------------------------
> --
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
    demtreat |   -.084377   .0380249    -2.22   0.026    -.1589043   -.00984
> 96
      negdev |   .0425488   .0033154    12.83   0.000     .0360508    .04904
> 69
      posdev |  -.0294367   .0041966    -7.01   0.000    -.0376619   -.02121
> 15
----------------------------------------------------------------------------
> --

. 
. //Values in table from marginal effects, manually imputed
. esttab punishb re2 using tab5s.tex, replace /// Table size adjusted manual
> ly with \adjustbox
>                                 title("Punishment decisions" \label{tab6})
>  ///
>                                 stats(r2_o N, fmt(%9.3f %9.0g) labels("R-s
> quared (overall)" Observations)) ///
>                                 mtitles("Punished=1" "Punished=1" "Punishm
> ent Pts." "Punishment Pts.") ///
>                                 label mti b(4) se(4) star(* 0.10 ** 0.05 *
> ** 0.01) ///
>                                 keep(demtreat negdev posdev) ///
>                                 scalars("cont Other Controls" "r2 R-square
> d" "N Observations") ///
>                                 nonotes addnotes("Notes: Coefficients for 
> first 2 models represent the average marginal effects of the probability o
> f being" "punished, for a Panel Data Probit model that captures the within
> g individual correlation." "Standard errors clustered at group level in pa
> renthesis for models 3 and 4." "\hspace{.2cm} \sym{*} Significant at the  
> 10 percent level." "\hspace{.05cm} \sym{**} Significant at the \hspace{.05
> cm} 5 percent level." "\sym{***} Significant at the \hspace{.05cm} 1 perce
> nt level.")
(note: file tab5s.tex not found)
(output written to tab5s.tex)

. est clear

. 
. **************************************************************************
> ******
. * Table 6: Leadership contribution analysis
. **************************************************************************
> ****** 
. preserve

. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

. gen d10c = contribution - l10.contribution // c(t)-c(t-10)
(2000 missing values generated)

. 
. * Punishment - VCM, overall
. ttest d10c, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |    1600    3.476875    .1770166    7.080664    3.129666    3.8240
> 84
       1 |     400         .87    .3704062    7.408124    .1418083    1.5981
> 92
---------+------------------------------------------------------------------
> --
combined |    2000      2.9555    .1614707    7.221191    2.638831    3.2721
> 69
---------+------------------------------------------------------------------
> --
    diff |            2.606875    .3995438                1.823309    3.3904
> 41
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =   6.52
> 46
Ho: diff = 0                                     degrees of freedom =     19
> 98

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.00
> 00

. ranksumex d10c, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |     1600     1671255     1600800
           1 |      400      329745      400200
-------------+---------------------------------
    combined |     2000     2001000     2001000

unadjusted variance   1.067e+08
adjustment for ties  -763973.35
                     ----------
adjusted variance     1.060e+08

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   6.845
    Prob > |z| =   0.0000

. * Punishment - VCM, Leviathan
. ttest d10c if institution4 == 3, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |     800      3.4825     .230693    6.524984    3.029664    3.9353
> 36
       1 |     200        .395     .521878     7.38047   -.6341208    1.4241
> 21
---------+------------------------------------------------------------------
> --
combined |    1000       2.865    .2154744    6.813898    2.442166    3.2878
> 34
---------+------------------------------------------------------------------
> --
    diff |              3.0875    .5300203                2.047418    4.1275
> 82
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =   5.82
> 52
Ho: diff = 0                                     degrees of freedom =      9
> 98

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.00
> 00

. ranksumex d10c if institution4 == 3, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |      800      421528      400400
           1 |      200       78972      100100
-------------+---------------------------------
    combined |     1000      500500      500500

unadjusted variance    13346667
adjustment for ties  -110776.78
                     ----------
adjusted variance      13235890

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   5.807
    Prob > |z| =   0.0000

. * Punishment - VCM, Democracy
. ttest d10c if institution4 == 4, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |     800     3.47125     .268698    7.599926    2.943813    3.9986
> 87
       1 |     200       1.345    .5249359    7.423714    .3098493    2.3801
> 51
---------+------------------------------------------------------------------
> --
combined |    1000       3.046    .2406196    7.609059    2.573822    3.5181
> 78
---------+------------------------------------------------------------------
> --
    diff |             2.12625     .598075                .9526212    3.2998
> 79
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =   3.55
> 52
Ho: diff = 0                                     degrees of freedom =      9
> 98

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.9998         Pr(|T| > |t|) = 0.0004          Pr(T > t) = 0.00
> 02

. ranksumex d10c if institution4 == 4, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |      800    414698.5      400400
           1 |      200     85801.5      100100
-------------+---------------------------------
    combined |     1000      500500      500500

unadjusted variance    13346667
adjustment for ties  -83571.171
                     ----------
adjusted variance      13263095

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   3.926
    Prob > |z| =   0.0001

. 
. **************************************************************************
> ******
. * Figure 3: Contribution's dynamics by roles
. **************************************************************************
> ******
. 
. gen mean_managercont=.
(4000 missing values generated)

. forvalues i=1/20{
  2. qui mean contribution if treatment==1 & manager2==1 & period==`i' 
  3. matrix c=e(b)
  4. replace mean_managercont=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. gen mean_nonmanagercont=.
(4000 missing values generated)

. forvalues i=1/20 {
  2. qui mean contribution if treatment==1 & manager2==0 & period==`i'
  3. matrix c=e(b)
  4. replace mean_nonmanagercont=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. gen mean_managercontd=.
(4000 missing values generated)

. forvalues i=1/20{
  2. qui mean contribution if treatment==2 & manager2==1 & period==`i' 
  3. matrix c=e(b)
  4. replace mean_managercontd=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. gen mean_nonmanagercontd=.
(4000 missing values generated)

. forvalues i=1/20 {
  2. qui mean contribution if treatment==2 & manager2==0 & period==`i'
  3. matrix c=e(b)
  4. replace mean_nonmanagercontd=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. gen per=_n

. twoway (connected mean_managercont per if per<=10, msymbol(O) lpattern(sol
> id) lc(ltblue) mc(ltblue)) ///
> (connected mean_managercont per if per>10 & per<=20, msymbol(Oh) lpattern(
> solid) lc(ltblue) mc(ltblue)) ///
> (connected mean_nonmanagercont per if per<=10, msymbol(O) lpattern(shortda
> sh) lc(gs8) mc(gs8)) ///
> (connected mean_nonmanagercont per if per>10 & per<=20, msymbol(Oh) lpatte
> rn(shortdash) lc(gs8) mc(gs8)) ///
> (connected mean_managercontd per if per<=10, msymbol(T) lpattern(solid) lc
> (blue) mc(blue)) ///
> (connected mean_managercontd per if per>10 & per<=20, msymbol(Th) lpattern
> (solid) lc(blue) mc(blue)) ///
> (connected mean_nonmanagercontd per if per<=10, msymbol(T) lpattern(shortd
> ash) lc(black) mc(black)) ///
> (connected mean_nonmanagercontd per if per>10 & per<=20, msymbol(Th) lpatt
> ern(shortdash) lc(black) mc(black)), ///
> ytitle("Average Contribution (Points)") xtitle("period") legend(label(1 "M
> anager's-Leviathan (VCM)") label(2 "Manager's-Leviathan (Punish.)") ///
> label(3 "Non-manager's-Leviathan (VCM)") label(4 "Non-manager's-Leviathan 
> (Punish.)") label(5 "Manager's-Democracy (VCM)") label(6 "Manager's-Democr
> acy (Punish.)") ///
> label(7 "Non-manager's-Democracy (VCM)") label(8 "Non-manager's-Democracy 
> (Punish.)") size(small) symxsize(8) keygap(1)) scheme(s1mono) ///
> xlabel(0(1)20) ylabel(0(2)20, nogrid) xline(11, lpattern(dash))

. 
. graph save Graph fig3s, replace
(note: file fig3s.gph not found)
(file fig3s.gph saved)

. graph export fig3s.eps, replace
(note: file fig3s.eps not found)
(file fig3s.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Figure 4: Manager�s contribution rank within group
. **************************************************************************
> ****** 
. 
. *** Rank cumulative contribution in VCM phase within group
. bys subject phase: egen Cumulativecontribution = sum(contribution) if peri
> od<=10
(2000 missing values generated)

. 
. bys group period: egen rank_contribution = rank(Cumulativecontribution) if
>  period<=10, field
(2000 missing values generated)

. 
. gen manrank = rank_contribution if manager2 == 1 & period == 10
(3960 missing values generated)

. label var manrank "Rank of managers' cumulative contributions in VCM"

. histogram manrank, scheme(s1mono) discrete width(1) frequency addlabel yla
> bel(0(10)30, nolabels) ymtick(, nolabels) ///
> xlabel(0(1)5, nolabels) by(, legend(off)) by(treatment, style(combine))
(note:  named style combineregion not found in class graphstyle, default
    attributes used)

. gr_edit plotregion1.graph1.xaxis1.title.draw_view.setstyle, style(no)

. gr_edit plotregion1.graph2.xaxis1.title.draw_view.setstyle, style(no)

. gr_edit note.draw_view.setstyle, style(no)

. gr_edit plotregion1.graph1.subtitle.text = {}

. gr_edit plotregion1.graph1.subtitle.text.Arrpush Leviathan

. gr_edit plotregion1.graph2.subtitle.text = {}

. gr_edit plotregion1.graph2.subtitle.text.Arrpush Democracy

. 
. graph save Graph fig4s, replace
(note: file fig4s.gph not found)
(file fig4s.gph saved)

. graph export fig4s.eps, replace
(note: file fig4s.eps not found)
(file fig4s.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Additional tables and figures
. **************************************************************************
> ******
. 
. * Onlinesupmaterial
. 
. **************************************************************************
> ******
. * Figure 1: Profit�s dynamics
. **************************************************************************
> ******
. 
. * Figure 1.1: Average Profit (Points) 
. xtline ave_institution4profit, overlay ///
> plot1opts(recast(connected) msymbol(o) lpattern(shortdash) lc(gs8) mc(gs8)
> ) ///
> plot2opts(recast(connected) msymbol(o) lpattern(solid) lc(black) mc(black)
> ) ///
> plot3opts(recast(connected) msymbol(s) lpattern(shortdash) lc(gs8) mc(gs8)
> ) ///
> plot4opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(Average Profit (Points)) ttitle(period) legend(on) i(institution4) 
> t(period) ylabel(24(2)30, nogrid) ///
> xlabel(0(1)20)  scheme(s1mono) ///
> legend(label(1 "Leviathan (VCM)") label(2 "Democracy (VCM)") label(3 "Levi
> athan (Punish.)") ///
> label(4 "Democracy (Punish.)"))

. 
. graph save Graph addfig1s, replace
(note: file addfig1s.gph not found)
(file addfig1s.gph saved)

. graph export addfig11s.eps, replace
(note: file addfig11s.eps not found)
(file addfig11s.eps written in EPS format)

. 
. * Figure 1.2: Average Profit (Points)-Unpunished subjects
. xtline ave_institution4profit_nopunish, overlay ///
> plot1opts(recast(connected) msymbol(o) lpattern(shortdash) lc(gs8) mc(gs8)
> ) ///
> plot2opts(recast(connected) msymbol(o) lpattern(solid) lc(black) mc(black)
> ) ///
> plot3opts(recast(connected) msymbol(s) lpattern(shortdash) lc(gs8) mc(gs8)
> ) ///
> plot4opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(Average Profit (Points)-Unpunished subjects) ttitle(period) legend(
> on) i(institution4) t(period) ylabel(24(2)30, nogrid) ///
> xlabel(0(1)20)  scheme(s1mono) ///
> legend(label(1 "Leviathan (VCM)") label(2 "Democracy (VCM)") label(3 "Levi
> athan (Punish.)") label(4 "Democracy (Punish.)"))

. 
. graph save Graph adfig1.2s, replace
(note: file adfig1.2s not found)
(file adfig1.2s saved)

. graph export addfig12s.eps, replace
(note: file addfig12s.eps not found)
(file addfig12s.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Table 1: Profits, regression results
. **************************************************************************
> ******
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

.                                         
. eststo FEgt: xi: reg profit dddem puntreat demtreat  ///
>                                         i.subject groupcode* periodinphase
> , ///
>                                         vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: _Isubject_10 omitted because of collinearity
note: _Isubject_13 omitted because of collinearity
note: _Isubject_18 omitted because of collinearity
note: _Isubject_23 omitted because of collinearity
note: _Isubject_28 omitted because of collinearity
note: _Isubject_32 omitted because of collinearity
note: _Isubject_36 omitted because of collinearity
note: _Isubject_43 omitted because of collinearity
note: _Isubject_48 omitted because of collinearity
note: _Isubject_53 omitted because of collinearity
note: _Isubject_58 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_68 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_78 omitted because of collinearity
note: _Isubject_83 omitted because of collinearity
note: _Isubject_87 omitted because of collinearity
note: _Isubject_93 omitted because of collinearity
note: _Isubject_98 omitted because of collinearity
note: _Isubject_103 omitted because of collinearity
note: _Isubject_107 omitted because of collinearity
note: _Isubject_112 omitted because of collinearity
note: _Isubject_117 omitted because of collinearity
note: _Isubject_122 omitted because of collinearity
note: _Isubject_128 omitted because of collinearity
note: _Isubject_133 omitted because of collinearity
note: _Isubject_138 omitted because of collinearity
note: _Isubject_143 omitted because of collinearity
note: _Isubject_147 omitted because of collinearity
note: _Isubject_153 omitted because of collinearity
note: _Isubject_158 omitted because of collinearity
note: _Isubject_163 omitted because of collinearity
note: _Isubject_168 omitted because of collinearity
note: _Isubject_173 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_183 omitted because of collinearity
note: _Isubject_187 omitted because of collinearity
note: _Isubject_193 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode1 omitted because of collinearity
note: groupcode2 omitted because of collinearity

Linear regression                                      Number of obs =    40
> 00
                                                       F(  2,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.31
> 84
                                                       Root MSE      =   5.0
> 02

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
      profit |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |    .258109     .92804     0.28   0.782    -1.619029    2.1352
> 47
    puntreat |    .574891   .6496156     0.88   0.382    -.7390806    1.8888
> 63
    demtreat |   .7609455     .46402     1.64   0.109    -.1776235    1.6995
> 14
 _Isubject_2 |        3.2   3.15e-12  1.0e+12   0.000          3.2         3
> .2
 _Isubject_3 |       -3.8   4.40e-12 -8.6e+11   0.000         -3.8        -3
> .8
 _Isubject_4 |        1.4   3.43e-12  4.1e+11   0.000          1.4         1
> .4
 _Isubject_5 |        -.3   3.71e-12 -8.1e+10   0.000          -.3         -
> .3
 _Isubject_6 |       1.95   1.18e-12  1.7e+12   0.000         1.95        1.
> 95
 _Isubject_7 |         .5   1.13e-12  4.4e+11   0.000           .5          
> .5
 _Isubject_8 |        4.6   1.33e-12  3.4e+12   0.000          4.6         4
> .6
 _Isubject_9 |       -.85   1.12e-12 -7.6e+11   0.000         -.85        -.
> 85
_Isubject_10 |          0  (omitted)
_Isubject_11 |       -2.1   2.34e-12 -9.0e+11   0.000         -2.1        -2
> .1
_Isubject_12 |      -2.35   2.29e-12 -1.0e+12   0.000        -2.35       -2.
> 35
_Isubject_13 |          0  (omitted)
_Isubject_14 |      -4.85   1.89e-12 -2.6e+12   0.000        -4.85       -4.
> 85
_Isubject_15 |        2.4   2.92e-12  8.2e+11   0.000          2.4         2
> .4
_Isubject_16 |        -.6   1.08e-12 -5.5e+11   0.000          -.6         -
> .6
_Isubject_17 |        2.6   1.57e-12  1.7e+12   0.000          2.6         2
> .6
_Isubject_18 |          0  (omitted)
_Isubject_19 |      -3.25   6.16e-13 -5.3e+12   0.000        -3.25       -3.
> 25
_Isubject_20 |        .35   1.22e-12  2.9e+11   0.000          .35         .
> 35
_Isubject_21 |       -4.1   1.69e-12 -2.4e+12   0.000         -4.1        -4
> .1
_Isubject_22 |      -3.65   1.75e-12 -2.1e+12   0.000        -3.65       -3.
> 65
_Isubject_23 |          0  (omitted)
_Isubject_24 |      -1.85   2.02e-12 -9.2e+11   0.000        -1.85       -1.
> 85
_Isubject_25 |      -2.55   1.92e-12 -1.3e+12   0.000        -2.55       -2.
> 55
_Isubject_26 |       -8.1   1.85e-12 -4.4e+12   0.000         -8.1        -8
> .1
_Isubject_27 |       -6.5   2.19e-12 -3.0e+12   0.000         -6.5        -6
> .5
_Isubject_28 |          0  (omitted)
_Isubject_29 |       2.55   3.65e-12  7.0e+11   0.000         2.55        2.
> 55
_Isubject_30 |        2.3   3.48e-12  6.6e+11   0.000          2.3         2
> .3
_Isubject_31 |        3.2   2.94e-12  1.1e+12   0.000          3.2         3
> .2
_Isubject_32 |          0  (omitted)
_Isubject_33 |       1.15   2.74e-12  4.2e+11   0.000         1.15        1.
> 15
_Isubject_34 |        .95   2.70e-12  3.5e+11   0.000          .95         .
> 95
_Isubject_35 |       1.15   2.73e-12  4.2e+11   0.000         1.15        1.
> 15
_Isubject_36 |          0  (omitted)
_Isubject_37 |      -1.15   1.06e-12 -1.1e+12   0.000        -1.15       -1.
> 15
_Isubject_38 |       -3.7   7.21e-13 -5.1e+12   0.000         -3.7        -3
> .7
_Isubject_39 |       -3.5   7.50e-13 -4.7e+12   0.000         -3.5        -3
> .5
_Isubject_40 |       -5.4   4.35e-13 -1.2e+13   0.000         -5.4        -5
> .4
_Isubject_41 |       -4.6   2.71e-12 -1.7e+12   0.000         -4.6        -4
> .6
_Isubject_42 |      -4.05   2.78e-12 -1.5e+12   0.000        -4.05       -4.
> 05
_Isubject_43 |          0  (omitted)
_Isubject_44 |      -2.75   2.95e-12 -9.3e+11   0.000        -2.75       -2.
> 75
_Isubject_45 |         -1   3.14e-12 -3.2e+11   0.000           -1          
> -1
_Isubject_46 |       1.45   2.80e-12  5.2e+11   0.000         1.45        1.
> 45
_Isubject_47 |       -7.9   1.56e-12 -5.0e+12   0.000         -7.9        -7
> .9
_Isubject_48 |          0  (omitted)
_Isubject_49 |      -1.25   2.51e-12 -5.0e+11   0.000        -1.25       -1.
> 25
_Isubject_50 |       1.75   2.80e-12  6.2e+11   0.000         1.75        1.
> 75
_Isubject_51 |       -1.1   2.16e-12 -5.1e+11   0.000         -1.1        -1
> .1
_Isubject_52 |        1.1   2.43e-12  4.5e+11   0.000          1.1         1
> .1
_Isubject_53 |          0  (omitted)
_Isubject_54 |         .3   2.33e-12  1.3e+11   0.000           .3          
> .3
_Isubject_55 |       -.95   2.16e-12 -4.4e+11   0.000         -.95        -.
> 95
_Isubject_56 |        .85   3.87e-12  2.2e+11   0.000          .85         .
> 85
_Isubject_57 |       2.95   4.38e-12  6.7e+11   0.000         2.95        2.
> 95
_Isubject_58 |          0  (omitted)
_Isubject_59 |        1.1   3.87e-12  2.8e+11   0.000          1.1         1
> .1
_Isubject_60 |       -1.8   3.56e-12 -5.1e+11   0.000         -1.8        -1
> .8
_Isubject_61 |       5.65   2.75e-13  2.1e+13   0.000         5.65        5.
> 65
_Isubject_62 |       8.25   2.90e-13  2.8e+13   0.000         8.25        8.
> 25
_Isubject_63 |          0  (omitted)
_Isubject_64 |      10.85   4.94e-13  2.2e+13   0.000        10.85       10.
> 85
_Isubject_65 |        6.3   2.39e-13  2.6e+13   0.000          6.3         6
> .3
_Isubject_66 |      -1.75   3.13e-13 -5.6e+12   0.000        -1.75       -1.
> 75
_Isubject_67 |          3   4.72e-13  6.4e+12   0.000            3          
>  3
_Isubject_68 |          0  (omitted)
_Isubject_69 |        1.1   3.06e-13  3.6e+12   0.000          1.1         1
> .1
_Isubject_70 |         .4   2.59e-13  1.5e+12   0.000           .4          
> .4
_Isubject_71 |         .9   2.39e-12  3.8e+11   0.000           .9          
> .9
_Isubject_72 |  -2.23e-12   2.36e-12    -0.94   0.351    -7.01e-12    2.55e-
> 12
_Isubject_73 |          0  (omitted)
_Isubject_74 |     -10.65   1.35e-12 -7.9e+12   0.000       -10.65      -10.
> 65
_Isubject_75 |       -6.5   1.56e-12 -4.2e+12   0.000         -6.5        -6
> .5
_Isubject_76 |       5.35   1.88e-12  2.8e+12   0.000         5.35        5.
> 35
_Isubject_77 |       3.85   1.71e-12  2.2e+12   0.000         3.85        3.
> 85
_Isubject_78 |          0  (omitted)
_Isubject_79 |        1.5   1.54e-12  9.8e+11   0.000          1.5         1
> .5
_Isubject_80 |       3.55   1.67e-12  2.1e+12   0.000         3.55        3.
> 55
_Isubject_81 |       7.95   3.10e-12  2.6e+12   0.000         7.95        7.
> 95
_Isubject_82 |        4.8   2.54e-12  1.9e+12   0.000          4.8         4
> .8
_Isubject_83 |          0  (omitted)
_Isubject_84 |       4.85   2.53e-12  1.9e+12   0.000         4.85        4.
> 85
_Isubject_85 |          4   2.44e-12  1.6e+12   0.000            4          
>  4
_Isubject_86 |        1.5   3.35e-13  4.5e+12   0.000          1.5         1
> .5
_Isubject_87 |          0  (omitted)
_Isubject_88 |         -1   6.29e-13 -1.6e+12   0.000           -1          
> -1
_Isubject_89 |        .65   4.03e-13  1.6e+12   0.000          .65         .
> 65
_Isubject_90 |      -2.95   7.30e-13 -4.0e+12   0.000        -2.95       -2.
> 95
_Isubject_91 |        -.3   3.03e-13 -9.9e+11   0.000          -.3         -
> .3
_Isubject_92 |        1.3   1.95e-13  6.7e+12   0.000          1.3         1
> .3
_Isubject_93 |          0  (omitted)
_Isubject_94 |        .75   2.19e-13  3.4e+12   0.000          .75         .
> 75
_Isubject_95 |      -1.05   4.13e-13 -2.5e+12   0.000        -1.05       -1.
> 05
_Isubject_96 |       -1.1   2.94e-12 -3.7e+11   0.000         -1.1        -1
> .1
_Isubject_97 |      -7.55   2.42e-12 -3.1e+12   0.000        -7.55       -7.
> 55
_Isubject_98 |          0  (omitted)
_Isubject_99 |      -1.55   2.86e-12 -5.4e+11   0.000        -1.55       -1.
> 55
_Isubjec~100 |      -1.45   2.85e-12 -5.1e+11   0.000        -1.45       -1.
> 45
_Isubjec~101 |      -3.35   7.16e-13 -4.7e+12   0.000        -3.35       -3.
> 35
_Isubjec~102 |        1.6   4.30e-13  3.7e+12   0.000          1.6         1
> .6
_Isubjec~103 |          0  (omitted)
_Isubjec~104 |        .05   6.23e-13  8.0e+10   0.000          .05         .
> 05
_Isubjec~105 |       -.55   6.69e-13 -8.2e+11   0.000         -.55        -.
> 55
_Isubjec~106 |        .55   4.79e-13  1.1e+12   0.000          .55         .
> 55
_Isubjec~107 |          0  (omitted)
_Isubjec~108 |       -1.3   3.41e-13 -3.8e+12   0.000         -1.3        -1
> .3
_Isubjec~109 |        1.3   5.29e-13  2.5e+12   0.000          1.3         1
> .3
_Isubjec~110 |       1.35   5.32e-13  2.5e+12   0.000         1.35        1.
> 35
_Isubjec~111 |       -1.8   6.18e-13 -2.9e+12   0.000         -1.8        -1
> .8
_Isubjec~112 |          0  (omitted)
_Isubjec~113 |        -.1   4.85e-13 -2.1e+11   0.000          -.1         -
> .1
_Isubjec~114 |       1.65   3.02e-13  5.5e+12   0.000         1.65        1.
> 65
_Isubjec~115 |        -.3   4.93e-13 -6.1e+11   0.000          -.3         -
> .3
_Isubjec~116 |  -8.44e-13   9.10e-13    -0.93   0.359    -2.68e-12    9.96e-
> 13
_Isubjec~117 |          0  (omitted)
_Isubjec~118 |      -4.15   6.09e-13 -6.8e+12   0.000        -4.15       -4.
> 15
_Isubjec~119 |      -1.05   8.22e-13 -1.3e+12   0.000        -1.05       -1.
> 05
_Isubjec~120 |        2.3   9.81e-13  2.3e+12   0.000          2.3         2
> .3
_Isubjec~121 |        -.1   1.09e-12 -9.2e+10   0.000          -.1         -
> .1
_Isubjec~122 |          0  (omitted)
_Isubjec~123 |        2.2   9.27e-13  2.4e+12   0.000          2.2         2
> .2
_Isubjec~124 |       2.65   8.95e-13  3.0e+12   0.000         2.65        2.
> 65
_Isubjec~125 |         .8   1.01e-12  7.9e+11   0.000           .8          
> .8
_Isubjec~126 |       -4.9   5.87e-13 -8.4e+12   0.000         -4.9        -4
> .9
_Isubjec~127 |       -6.5   4.28e-13 -1.5e+13   0.000         -6.5        -6
> .5
_Isubjec~128 |          0  (omitted)
_Isubjec~129 |       -4.7   5.87e-13 -8.0e+12   0.000         -4.7        -4
> .7
_Isubjec~130 |         -5   5.66e-13 -8.8e+12   0.000           -5          
> -5
_Isubjec~131 |        1.3   1.46e-13  8.9e+12   0.000          1.3         1
> .3
_Isubjec~132 |       3.25   1.18e-13  2.7e+13   0.000         3.25        3.
> 25
_Isubjec~133 |          0  (omitted)
_Isubjec~134 |       1.85   1.29e-13  1.4e+13   0.000         1.85        1.
> 85
_Isubjec~135 |        4.3   1.43e-13  3.0e+13   0.000          4.3         4
> .3
_Isubjec~136 |       -1.1   1.88e-13 -5.8e+12   0.000         -1.1        -1
> .1
_Isubjec~137 |      -4.55   1.45e-13 -3.1e+13   0.000        -4.55       -4.
> 55
_Isubjec~138 |          0  (omitted)
_Isubjec~139 |      -1.65   1.61e-13 -1.0e+13   0.000        -1.65       -1.
> 65
_Isubjec~140 |      -3.45   1.15e-13 -3.0e+13   0.000        -3.45       -3.
> 45
_Isubjec~141 |        4.2   3.77e-13  1.1e+13   0.000          4.2         4
> .2
_Isubjec~142 |       -2.8   1.15e-13 -2.4e+13   0.000         -2.8        -2
> .8
_Isubjec~143 |          0  (omitted)
_Isubjec~144 |        .55   2.32e-13  2.4e+12   0.000          .55         .
> 55
_Isubjec~145 |       -1.2   1.60e-13 -7.5e+12   0.000         -1.2        -1
> .2
_Isubjec~146 |        .85   2.12e-13  4.0e+12   0.000          .85         .
> 85
_Isubjec~147 |          0  (omitted)
_Isubjec~148 |       -1.3   3.41e-13 -3.8e+12   0.000         -1.3        -1
> .3
_Isubjec~149 |       -.15   2.56e-13 -5.9e+11   0.000         -.15        -.
> 15
_Isubjec~150 |        .55   2.28e-13  2.4e+12   0.000          .55         .
> 55
_Isubjec~151 |        1.7   1.04e-13  1.6e+13   0.000          1.7         1
> .7
_Isubjec~152 |       2.45   1.21e-13  2.0e+13   0.000         2.45        2.
> 45
_Isubjec~153 |          0  (omitted)
_Isubjec~154 |       4.75   1.62e-13  2.9e+13   0.000         4.75        4.
> 75
_Isubjec~155 |         .6   8.19e-14  7.3e+12   0.000           .6          
> .6
_Isubjec~156 |       1.35   4.18e-13  3.2e+12   0.000         1.35        1.
> 35
_Isubjec~157 |        -.4   5.09e-13 -7.9e+11   0.000          -.4         -
> .4
_Isubjec~158 |          0  (omitted)
_Isubjec~159 |       1.25   4.17e-13  3.0e+12   0.000         1.25        1.
> 25
_Isubjec~160 |       1.05   4.21e-13  2.5e+12   0.000         1.05        1.
> 05
_Isubjec~161 |       2.75   6.54e-14  4.2e+13   0.000         2.75        2.
> 75
_Isubjec~162 |       -.45   1.03e-13 -4.4e+12   0.000         -.45        -.
> 45
_Isubjec~163 |          0  (omitted)
_Isubjec~164 |         .3   8.58e-14  3.5e+12   0.000           .3          
> .3
_Isubjec~165 |       -1.7   1.37e-13 -1.2e+13   0.000         -1.7        -1
> .7
_Isubjec~166 |       -2.4   7.81e-14 -3.1e+13   0.000         -2.4        -2
> .4
_Isubjec~167 |       1.65   8.52e-14  1.9e+13   0.000         1.65        1.
> 65
_Isubjec~168 |          0  (omitted)
_Isubjec~169 |      -2.35   8.32e-14 -2.8e+13   0.000        -2.35       -2.
> 35
_Isubjec~170 |      -2.05   8.14e-14 -2.5e+13   0.000        -2.05       -2.
> 05
_Isubjec~171 |      -4.85   1.80e-13 -2.7e+13   0.000        -4.85       -4.
> 85
_Isubjec~172 |       -1.5   1.08e-13 -1.4e+13   0.000         -1.5        -1
> .5
_Isubjec~173 |          0  (omitted)
_Isubjec~174 |       -8.5   2.78e-13 -3.1e+13   0.000         -8.5        -8
> .5
_Isubjec~175 |       -5.9   2.28e-13 -2.6e+13   0.000         -5.9        -5
> .9
_Isubjec~176 |       -.05   3.61e-13 -1.4e+11   0.000         -.05        -.
> 05
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |       3.45   2.99e-13  1.2e+13   0.000         3.45        3.
> 45
_Isubjec~179 |       -.75   3.77e-13 -2.0e+12   0.000         -.75        -.
> 75
_Isubjec~180 |        -.4   3.71e-13 -1.1e+12   0.000          -.4         -
> .4
_Isubjec~181 |        3.2   4.77e-13  6.7e+12   0.000          3.2         3
> .2
_Isubjec~182 |       -.85   5.44e-13 -1.6e+12   0.000         -.85        -.
> 85
_Isubjec~183 |          0  (omitted)
_Isubjec~184 |  -1.267229   .0443297   -28.59   0.000    -1.356895   -1.1775
> 64
_Isubjec~185 |       4.65   4.56e-13  1.0e+13   0.000         4.65        4.
> 65
_Isubjec~186 |        .25   3.72e-13  6.7e+11   0.000          .25         .
> 25
_Isubjec~187 |          0  (omitted)
_Isubjec~188 |       1.55   3.71e-13  4.2e+12   0.000         1.55        1.
> 55
_Isubjec~189 |         .6   3.88e-13  1.5e+12   0.000           .6          
> .6
_Isubjec~190 |         -1   4.01e-13 -2.5e+12   0.000           -1          
> -1
_Isubjec~191 |        1.8   2.89e-13  6.2e+12   0.000          1.8         1
> .8
_Isubjec~192 |       -4.1   3.45e-13 -1.2e+13   0.000         -4.1        -4
> .1
_Isubjec~193 |          0  (omitted)
_Isubjec~194 |      -2.05   3.47e-13 -5.9e+12   0.000        -2.05       -2.
> 05
_Isubjec~195 |        .65   3.48e-13  1.9e+12   0.000          .65         .
> 65
_Isubjec~196 |        .45   4.93e-13  9.1e+11   0.000          .45         .
> 45
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |       -1.6   5.16e-13 -3.1e+12   0.000         -1.6        -1
> .6
_Isubjec~199 |       -2.5   5.29e-13 -4.7e+12   0.000         -2.5        -2
> .5
_Isubjec~200 |      -4.75   5.33e-13 -8.9e+12   0.000        -4.75       -4.
> 75
  groupcode1 |          0  (omitted)
  groupcode2 |          0  (omitted)
  groupcode3 |       3.16   4.54e-12  7.0e+11   0.000         3.16        3.
> 16
  groupcode4 |        .42   3.98e-12  1.1e+11   0.000          .42         .
> 42
  groupcode5 |       2.88   2.25e-12  1.3e+12   0.000         2.88        2.
> 88
  groupcode6 |       4.56   4.48e-12  1.0e+12   0.000         4.56        4.
> 56
  groupcode7 |       2.59   2.31e-12  1.1e+12   0.000         2.59        2.
> 59
  groupcode8 |       1.77   4.00e-12  4.4e+11   0.000         1.77        1.
> 77
  groupcode9 |       5.51   2.86e-12  1.9e+12   0.000         5.51        5.
> 51
 groupcode10 |       4.19   4.50e-12  9.3e+11   0.000         4.19        4.
> 19
 groupcode11 |       2.42   2.25e-12  1.1e+12   0.000         2.42        2.
> 42
 groupcode12 |       5.38   4.85e-12  1.1e+12   0.000         5.38        5.
> 38
 groupcode13 |      -6.32   1.35e-12 -4.7e+12   0.000        -6.32       -6.
> 32
 groupcode14 |      -2.06   3.89e-12 -5.3e+11   0.000        -2.06       -2.
> 06
 groupcode15 |       4.28   2.46e-12  1.7e+12   0.000         4.28        4.
> 28
 groupcode16 |        .51   4.09e-12  1.2e+11   0.000          .51         .
> 51
 groupcode17 |       1.86   2.04e-12  9.1e+11   0.000         1.86        1.
> 86
 groupcode18 |      -2.82   3.90e-12 -7.2e+11   0.000        -2.82       -2.
> 82
 groupcode19 |      -2.16   3.88e-12 -5.6e+11   0.000        -2.16       -2.
> 16
 groupcode20 |       8.67   2.63e-12  3.3e+12   0.000         8.67        8.
> 67
 groupcode21 |      -3.13   3.92e-12 -8.0e+11   0.000        -3.13       -3.
> 13
 groupcode22 |       -.56   3.86e-12 -1.5e+11   0.000         -.56        -.
> 56
 groupcode23 |      -2.05   1.33e-12 -1.5e+12   0.000        -2.05       -2.
> 05
 groupcode24 |       2.24   3.97e-12  5.6e+11   0.000         2.24        2.
> 24
 groupcode25 |      -4.83   1.36e-12 -3.6e+12   0.000        -4.83       -4.
> 83
 groupcode26 |       4.24   1.56e-12  2.7e+12   0.000         4.24        4.
> 24
 groupcode27 |      -2.25   1.27e-12 -1.8e+12   0.000        -2.25       -2.
> 25
 groupcode28 |       1.53   1.29e-12  1.2e+12   0.000         1.53        1.
> 53
 groupcode29 |        .62   3.86e-12  1.6e+11   0.000          .62         .
> 62
 groupcode30 |        -.9   1.28e-12 -7.1e+11   0.000          -.9         -
> .9
 groupcode31 |       -.36   3.85e-12 -9.3e+10   0.000         -.36        -.
> 36
 groupcode32 |      -2.17   1.35e-12 -1.6e+12   0.000        -2.17       -2.
> 17
 groupcode33 |        .83   3.85e-12  2.2e+11   0.000          .83         .
> 83
 groupcode34 |       2.49   1.22e-12  2.0e+12   0.000         2.49        2.
> 49
 groupcode35 |       3.78   1.21e-12  3.1e+12   0.000         3.78        3.
> 78
 groupcode36 |       -.86   3.88e-12 -2.2e+11   0.000         -.86        -.
> 86
 groupcode37 |      -2.67   1.26e-12 -2.1e+12   0.000        -2.67       -2.
> 67
 groupcode38 |       1.48   3.86e-12  3.8e+11   0.000         1.48        1.
> 48
 groupcode39 |       6.01   1.26e-12  4.8e+12   0.000         6.01        6.
> 01
 groupcode40 |        4.6   3.82e-12  1.2e+12   0.000          4.6         4
> .6
periodinph~e |  -.1313543    .058848    -2.23   0.031    -.2503857   -.01232
> 29
       _cons |     25.455   .5353627    47.55   0.000     24.37213    26.537
> 88
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. eststo FEgtc: xi: reg profit dddem puntreat demtreat  ///
>                                         i.subject groupcode* periodinphase
>  ///
>                                         ave_Othercontribution_l punished_l
>  punishment_l, ///
>                                         vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: _Isubject_6 omitted because of collinearity
note: _Isubject_14 omitted because of collinearity
note: _Isubject_20 omitted because of collinearity
note: _Isubject_21 omitted because of collinearity
note: _Isubject_27 omitted because of collinearity
note: _Isubject_31 omitted because of collinearity
note: _Isubject_39 omitted because of collinearity
note: _Isubject_41 omitted because of collinearity
note: _Isubject_47 omitted because of collinearity
note: _Isubject_54 omitted because of collinearity
note: _Isubject_58 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_66 omitted because of collinearity
note: _Isubject_74 omitted because of collinearity
note: _Isubject_76 omitted because of collinearity
note: _Isubject_83 omitted because of collinearity
note: _Isubject_86 omitted because of collinearity
note: _Isubject_94 omitted because of collinearity
note: _Isubject_97 omitted because of collinearity
note: _Isubject_105 omitted because of collinearity
note: _Isubject_109 omitted because of collinearity
note: _Isubject_111 omitted because of collinearity
note: _Isubject_118 omitted because of collinearity
note: _Isubject_121 omitted because of collinearity
note: _Isubject_127 omitted because of collinearity
note: _Isubject_135 omitted because of collinearity
note: _Isubject_138 omitted because of collinearity
note: _Isubject_144 omitted because of collinearity
note: _Isubject_146 omitted because of collinearity
note: _Isubject_151 omitted because of collinearity
note: _Isubject_157 omitted because of collinearity
note: _Isubject_161 omitted because of collinearity
note: _Isubject_169 omitted because of collinearity
note: _Isubject_175 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_185 omitted because of collinearity
note: _Isubject_189 omitted because of collinearity
note: _Isubject_191 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode20 omitted because of collinearity
note: groupcode21 omitted because of collinearity

Linear regression                                      Number of obs =    38
> 00
                                                       F(  5,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.37
> 91
                                                       Root MSE      =  4.81
> 02

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
      profit |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |    .137125   .6650205     0.21   0.838    -1.208006    1.4822
> 56
    puntreat |   .3034713   .4205193     0.72   0.475    -.5471092    1.1540
> 52
    demtreat |  -.9407497   .6499553    -1.45   0.156    -2.255408    .37390
> 89
 _Isubject_2 |   3.038569   .0657194    46.24   0.000     2.905639    3.1714
> 99
 _Isubject_3 |  -3.702798   .0838818   -44.14   0.000    -3.872465   -3.5331
> 31
 _Isubject_4 |   .9047604   .0244389    37.02   0.000     .8553281    .95419
> 26
 _Isubject_5 |  -.3043906   .0476146    -6.39   0.000    -.4007003   -.20808
> 09
 _Isubject_6 |          0  (omitted)
 _Isubject_7 |  -1.504666   .1721036    -8.74   0.000    -1.852778   -1.1565
> 53
 _Isubject_8 |    1.90935   .0863448    22.11   0.000     1.734701    2.0839
> 99
 _Isubject_9 |  -2.839353   .1122254   -25.30   0.000    -3.066351   -2.6123
> 56
_Isubject_10 |  -2.112286   .0729478   -28.96   0.000    -2.259837   -1.9647
> 35
_Isubject_11 |   2.459169   .0662594    37.11   0.000     2.325147    2.5931
> 91
_Isubject_12 |   2.035966   .0375568    54.21   0.000         1.96    2.1119
> 32
_Isubject_13 |   4.518657   .1679575    26.90   0.000     4.178931    4.8583
> 83
_Isubject_14 |          0  (omitted)
_Isubject_15 |   6.115017   .1066323    57.35   0.000     5.899333    6.3307
> 01
_Isubject_16 |  -1.068171   .2428811    -4.40   0.000    -1.559445   -.57689
> 79
_Isubject_17 |   1.975358   .1971664    10.02   0.000     1.576551    2.3741
> 64
_Isubject_18 |   -.495726   .2038804    -2.43   0.020     -.908113   -.08333
> 89
_Isubject_19 |  -3.352149   .2436866   -13.76   0.000    -3.845052   -2.8592
> 47
_Isubject_20 |          0  (omitted)
_Isubject_21 |          0  (omitted)
_Isubject_22 |   1.028284   .0937137    10.97   0.000       .83873    1.2178
> 38
_Isubject_23 |   3.604201   .1159735    31.08   0.000     3.369622     3.838
> 78
_Isubject_24 |   2.249547    .066648    33.75   0.000     2.114739    2.3843
> 56
_Isubject_25 |   1.804813   .1654198    10.91   0.000      1.47022    2.1394
> 06
_Isubject_26 |  -.9264495   .0611752   -15.14   0.000    -1.050188    -.8027
> 11
_Isubject_27 |          0  (omitted)
_Isubject_28 |   6.795409    .184993    36.73   0.000     6.421225    7.1695
> 92
_Isubject_29 |   8.333553   .1318321    63.21   0.000     8.066897    8.6002
> 08
_Isubject_30 |   8.898395   .2535739    35.09   0.000     8.385493    9.4112
> 96
_Isubject_31 |          0  (omitted)
_Isubject_32 |   -3.99713   .1316727   -30.36   0.000    -4.263463   -3.7307
> 97
_Isubject_33 |  -2.148194   .0342577   -62.71   0.000    -2.217487   -2.0789
> 01
_Isubject_34 |  -2.524168   .0439955   -57.37   0.000    -2.613157   -2.4351
> 78
_Isubject_35 |  -2.654791   .1302167   -20.39   0.000    -2.918179   -2.3914
> 03
_Isubject_36 |   2.639816   .0736089    35.86   0.000     2.490928    2.7887
> 04
_Isubject_37 |   1.590229    .045965    34.60   0.000     1.497256    1.6832
> 02
_Isubject_38 |  -.5886687   .0939962    -6.26   0.000     -.778794   -.39854
> 34
_Isubject_39 |          0  (omitted)
_Isubject_40 |  -2.210816   .0298721   -74.01   0.000    -2.271238   -2.1503
> 94
_Isubject_41 |          0  (omitted)
_Isubject_42 |  -.2613473   .1092838    -2.39   0.022    -.4823946      -.04
> 03
_Isubject_43 |   3.708675   .0904426    41.01   0.000     3.525737    3.8916
> 12
_Isubject_44 |   1.330257   .1099847    12.09   0.000     1.107792    1.5527
> 22
_Isubject_45 |   2.635092   .1212495    21.73   0.000     2.389841    2.8803
> 42
_Isubject_46 |   7.864548   .2392395    32.87   0.000     7.380641    8.3484
> 56
_Isubject_47 |          0  (omitted)
_Isubject_48 |   6.185563   .2273344    27.21   0.000     5.725736    6.6453
> 91
_Isubject_49 |   5.269988   .2178703    24.19   0.000     4.829304    5.7106
> 72
_Isubject_50 |    7.79321   .2051495    37.99   0.000     7.378256    8.2081
> 64
_Isubject_51 |  -1.309328   .0251273   -52.11   0.000    -1.360153   -1.2585
> 04
_Isubject_52 |   .5041021   .0270438    18.64   0.000     .4494007    .55880
> 34
_Isubject_53 |   -.301301   .0378932    -7.95   0.000    -.3779471   -.22465
> 48
_Isubject_54 |          0  (omitted)
_Isubject_55 |  -1.412285   .0912498   -15.48   0.000    -1.596855   -1.2277
> 15
_Isubject_56 |   .3604571   .0644475     5.59   0.000     .2300996    .49081
> 46
_Isubject_57 |   2.062102   .1288578    16.00   0.000     1.801462    2.3227
> 41
_Isubject_58 |          0  (omitted)
_Isubject_59 |    1.02416   .0778029    13.16   0.000     .8667888    1.1815
> 31
_Isubject_60 |  -1.075448   .0469586   -22.90   0.000     -1.17043   -.98046
> 49
_Isubject_61 |   6.236794   .1258268    49.57   0.000     5.982286    6.4913
> 03
_Isubject_62 |   7.476026   .2092333    35.73   0.000     7.052812    7.8992
> 41
_Isubject_63 |          0  (omitted)
_Isubject_64 |   10.52198   .2073522    50.74   0.000     10.10257    10.941
> 39
_Isubject_65 |   6.476657   .1246418    51.96   0.000     6.224545    6.7287
> 69
_Isubject_66 |          0  (omitted)
_Isubject_67 |   4.243766    .108709    39.04   0.000     4.023882    4.4636
> 51
_Isubject_68 |   1.625128   .0749123    21.69   0.000     1.473604    1.7766
> 53
_Isubject_69 |   2.644926   .0895148    29.55   0.000     2.463865    2.8259
> 87
_Isubject_70 |   1.737985   .0829497    20.95   0.000     1.570203    1.9057
> 66
_Isubject_71 |   10.50335   .2089399    50.27   0.000     10.08073    10.925
> 97
_Isubject_72 |   9.465897   .1766466    53.59   0.000     9.108595    9.8231
> 98
_Isubject_73 |   10.79254   .2708119    39.85   0.000     10.24477     11.34
> 03
_Isubject_74 |          0  (omitted)
_Isubject_75 |   3.385251   .0613173    55.21   0.000     3.261225    3.5092
> 77
_Isubject_76 |          0  (omitted)
_Isubject_77 |  -.2763271   .1868474    -1.48   0.147    -.6542616    .10160
> 75
_Isubject_78 |  -4.147686   .0944283   -43.92   0.000    -4.338686   -3.9566
> 87
_Isubject_79 |  -2.923566   .0905007   -32.30   0.000    -3.106621   -2.7405
> 11
_Isubject_80 |  -1.260025   .0910888   -13.83   0.000     -1.44427   -1.0757
> 81
_Isubject_81 |   7.077277   .1368683    51.71   0.000     6.800435     7.354
> 12
_Isubject_82 |     4.6698    .150798    30.97   0.000     4.364783    4.9748
> 18
_Isubject_83 |          0  (omitted)
_Isubject_84 |   4.735469   .0925052    51.19   0.000     4.548359    4.9225
> 78
_Isubject_85 |   3.648409   .0613173    59.50   0.000     3.524383    3.7724
> 35
_Isubject_86 |          0  (omitted)
_Isubject_87 |  -1.466095   .0674963   -21.72   0.000    -1.602619   -1.3295
> 71
_Isubject_88 |  -2.088598   .0375568   -55.61   0.000    -2.164564   -2.0126
> 32
_Isubject_89 |  -.5173367   .0799886    -6.47   0.000    -.6791289   -.35554
> 46
_Isubject_90 |  -3.710447   .0960463   -38.63   0.000    -3.904719   -3.5161
> 75
_Isubject_91 |  -1.713082    .090792   -18.87   0.000    -1.896727   -1.5294
> 38
_Isubject_92 |    .313043   .0340434     9.20   0.000     .2441836    .38190
> 23
_Isubject_93 |  -1.091083   .0728874   -14.97   0.000    -1.238512   -.94365
> 42
_Isubject_94 |          0  (omitted)
_Isubject_95 |  -2.351762   .1089181   -21.59   0.000    -2.572069   -2.1314
> 54
_Isubject_96 |   5.918772   .1322178    44.77   0.000     5.651336    6.1862
> 08
_Isubject_97 |          0  (omitted)
_Isubject_98 |   6.222063   .1343928    46.30   0.000     5.950228    6.4938
> 98
_Isubject_99 |   4.577876   .0919759    49.77   0.000     4.391838    4.7639
> 15
_Isubjec~100 |   5.480505   .1904647    28.77   0.000     5.095254    5.8657
> 57
_Isubjec~101 |  -2.746816   .0967956   -28.38   0.000    -2.942604   -2.5510
> 29
_Isubjec~102 |   1.693537   .1032333    16.40   0.000     1.484728    1.9023
> 46
_Isubjec~103 |   .1920681   .0948467     2.03   0.050     .0002225    .38391
> 37
_Isubjec~104 |   .4497827   .0304037    14.79   0.000     .3882855    .51127
> 99
_Isubjec~105 |          0  (omitted)
_Isubjec~106 |  -1.536666   .0728901   -21.08   0.000      -1.6841   -1.3892
> 32
_Isubjec~107 |  -2.273323   .1313382   -17.31   0.000     -2.53898   -2.0076
> 67
_Isubjec~108 |  -3.516109   .1314075   -26.76   0.000    -3.781906   -3.2503
> 13
_Isubjec~109 |          0  (omitted)
_Isubjec~110 |  -.7210772   .0606261   -11.89   0.000    -.8437051   -.59844
> 93
_Isubjec~111 |          0  (omitted)
_Isubjec~112 |   2.045099   .0913814    22.38   0.000     1.860263    2.2299
> 36
_Isubjec~113 |   1.583889   .0275928    57.40   0.000     1.528078    1.6397
> 01
_Isubjec~114 |   3.096076   .1190504    26.01   0.000     2.855274    3.3368
> 78
_Isubjec~115 |   1.621403    .055341    29.30   0.000     1.509465    1.7333
> 41
_Isubjec~116 |    3.98646   .2545339    15.66   0.000     3.471617    4.5013
> 04
_Isubjec~117 |    4.57742     .08004    57.19   0.000     4.415524    4.7393
> 16
_Isubjec~118 |          0  (omitted)
_Isubjec~119 |   3.172254   .0475209    66.75   0.000     3.076134    3.2683
> 74
_Isubjec~120 |   6.229231   .0924567    67.37   0.000     6.042219    6.4162
> 42
_Isubjec~121 |          0  (omitted)
_Isubjec~122 |   .4252297   .0191287    22.23   0.000     .3865383    .46392
> 11
_Isubjec~123 |   2.277834   .1952046    11.67   0.000     1.882995    2.6726
> 73
_Isubjec~124 |   2.695706   .1674516    16.10   0.000     2.357003    3.0344
> 09
_Isubjec~125 |   .9167882   .0419421    21.86   0.000     .8319522    1.0016
> 24
_Isubjec~126 |   1.480219   .0482097    30.70   0.000     1.382706    1.5777
> 32
_Isubjec~127 |          0  (omitted)
_Isubjec~128 |    5.65186   .1899471    29.75   0.000     5.267656    6.0360
> 64
_Isubjec~129 |   1.524651    .050475    30.21   0.000     1.422555    1.6267
> 46
_Isubjec~130 |   1.200463    .117112    10.25   0.000     .9635819    1.4373
> 45
_Isubjec~131 |  -2.973938   .1108298   -26.83   0.000    -3.198112   -2.7497
> 64
_Isubjec~132 |  -.9399802   .0549839   -17.10   0.000    -1.051196   -.82876
> 48
_Isubjec~133 |  -3.942145   .1158488   -34.03   0.000    -4.176471   -3.7078
> 19
_Isubjec~134 |  -1.741486   .0373564   -46.62   0.000    -1.817046   -1.6659
> 25
_Isubjec~135 |          0  (omitted)
_Isubjec~136 |   -.499193   .0340513   -14.66   0.000    -.5680683   -.43031
> 77
_Isubjec~137 |  -4.141743   .1022814   -40.49   0.000    -4.348627   -3.9348
> 59
_Isubjec~138 |          0  (omitted)
_Isubjec~139 |  -1.075507   .0344425   -31.23   0.000    -1.145174   -1.0058
> 41
_Isubjec~140 |  -2.762324   .0540336   -51.12   0.000    -2.871617   -2.6530
> 31
_Isubjec~141 |   3.390769   .2226336    15.23   0.000      2.94045    3.8410
> 88
_Isubjec~142 |  -2.836391   .1970017   -14.40   0.000    -3.234865   -2.4379
> 18
_Isubjec~143 |  -.8334352   .1913078    -4.36   0.000    -1.220392   -.44647
> 85
_Isubjec~144 |          0  (omitted)
_Isubjec~145 |  -1.542756   .2516216    -6.13   0.000    -2.051709   -1.0338
> 03
_Isubjec~146 |          0  (omitted)
_Isubjec~147 |  -1.730015   .1588081   -10.89   0.000    -2.051235   -1.4087
> 96
_Isubjec~148 |  -3.375487   .1555355   -21.70   0.000    -3.690087   -3.0608
> 86
_Isubjec~149 |   -1.75744   .1062321   -16.54   0.000    -1.972315   -1.5425
> 66
_Isubjec~150 |  -1.663491   .1629402   -10.21   0.000    -1.993069   -1.3339
> 14
_Isubjec~151 |          0  (omitted)
_Isubjec~152 |   .9284047   .0380633    24.39   0.000     .8514144    1.0053
> 95
_Isubjec~153 |  -1.150912   .0536558   -21.45   0.000    -1.259441   -1.0423
> 83
_Isubjec~154 |   3.693379   .1386283    26.64   0.000     3.412977    3.9737
> 81
_Isubjec~155 |  -1.258356    .061695   -20.40   0.000    -1.383146   -1.1335
> 66
_Isubjec~156 |   2.072744   .1484529    13.96   0.000      1.77247    2.3730
> 18
_Isubjec~157 |          0  (omitted)
_Isubjec~158 |   1.103674   .1471896     7.50   0.000     .8059546    1.4013
> 93
_Isubjec~159 |   1.400835    .024016    58.33   0.000     1.352258    1.4494
> 12
_Isubjec~160 |   2.164549   .1295073    16.71   0.000     1.902596    2.4265
> 02
_Isubjec~161 |          0  (omitted)
_Isubjec~162 |  -2.764659   .0554045   -49.90   0.000    -2.876726   -2.6525
> 93
_Isubjec~163 |  -2.394436   .0720831   -33.22   0.000    -2.540238   -2.2486
> 34
_Isubjec~164 |  -2.431189   .0721998   -33.67   0.000    -2.577227   -2.2851
> 51
_Isubjec~165 |  -4.191061    .098623   -42.50   0.000    -4.390545   -3.9915
> 77
_Isubjec~166 |   .1708783   .0569669     3.00   0.005     .0556518    .28610
> 48
_Isubjec~167 |   3.551952   .0612691    57.97   0.000     3.428024    3.6758
> 81
_Isubjec~168 |     2.6028   .0974293    26.71   0.000      2.40573    2.7998
> 69
_Isubjec~169 |          0  (omitted)
_Isubjec~170 |    .503954   .0750181     6.72   0.000     .3522157    .65569
> 24
_Isubjec~171 |   1.306644   .0340787    38.34   0.000     1.237713    1.3755
> 75
_Isubjec~172 |   4.493694   .0771262    58.26   0.000     4.337692    4.6496
> 97
_Isubjec~173 |   5.687224   .1016271    55.96   0.000     5.481664    5.8927
> 85
_Isubjec~174 |  -2.716116   .1444171   -18.81   0.000    -3.008227   -2.4240
> 05
_Isubjec~175 |          0  (omitted)
_Isubjec~176 |  -.1961408   .0332894    -5.89   0.000     -.263475   -.12880
> 65
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |   3.018754   .0910147    33.17   0.000     2.834659    3.2028
> 48
_Isubjec~179 |  -1.567896   .0848394   -18.48   0.000      -1.7395   -1.3962
> 93
_Isubjec~180 |    -.32864    .112146    -2.93   0.006    -.5554768   -.10180
> 32
_Isubjec~181 |  -.8343903   .0222275   -37.54   0.000    -.8793497   -.78943
> 09
_Isubjec~182 |  -4.663536   .0804789   -57.95   0.000     -4.82632   -4.5007
> 53
_Isubjec~183 |  -4.100486   .0712813   -57.53   0.000    -4.244666   -3.9563
> 06
_Isubjec~184 |  -5.354764   .0938381   -57.06   0.000     -5.54457   -5.1649
> 59
_Isubjec~185 |          0  (omitted)
_Isubjec~186 |   .0496449   .0788997     0.63   0.533    -.1099448    .20923
> 46
_Isubjec~187 |  -.5392523   .0447251   -12.06   0.000    -.6297174   -.44878
> 72
_Isubjec~188 |   .7348562   .0227239    32.34   0.000     .6888928    .78081
> 97
_Isubjec~189 |          0  (omitted)
_Isubjec~190 |  -.6971921    .126828    -5.50   0.000     -.953726   -.44065
> 82
_Isubjec~191 |          0  (omitted)
_Isubjec~192 |  -5.607963   .0923566   -60.72   0.000    -5.794772   -5.4211
> 54
_Isubjec~193 |  -1.729127   .0222275   -77.79   0.000    -1.774086   -1.6841
> 68
_Isubjec~194 |  -3.454254   .0777172   -44.45   0.000    -3.611452   -3.2970
> 56
_Isubjec~195 |  -1.056636   .0247908   -42.62   0.000     -1.10678   -1.0064
> 92
_Isubjec~196 |  -.8769853   .2518673    -3.48   0.001    -1.386435   -.36753
> 57
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |  -3.204361   .2740364   -11.69   0.000    -3.758652    -2.650
> 07
_Isubjec~199 |  -3.482646   .2702022   -12.89   0.000    -4.029182   -2.9361
> 11
_Isubjec~200 |  -5.921297   .2667166   -22.20   0.000    -6.460783   -5.3818
> 12
  groupcode1 |   2.043546   .2435536     8.39   0.000     1.550912     2.536
> 18
  groupcode2 |   2.040624   .2625937     7.77   0.000     1.509478     2.571
> 77
  groupcode3 |   .1724917    .286749     0.60   0.551    -.4075129    .75249
> 63
  groupcode4 |   2.440449   .3241867     7.53   0.000     1.784719    3.0961
> 78
  groupcode5 |  -.7283849   .3119515    -2.33   0.025    -1.359366   -.09740
> 34
  groupcode6 |   -1.81209   .4264519    -4.25   0.000     -2.67467   -.94950
> 95
  groupcode7 |   5.705342   .1774957    32.14   0.000     5.346323    6.0643
> 61
  groupcode8 |   1.214863   .1649037     7.37   0.000     .8813138    1.5484
> 12
  groupcode9 |   .8380878   .1943219     4.31   0.000     .4450347    1.2311
> 41
 groupcode10 |   -1.77737   .3379696    -5.26   0.000    -2.460978   -1.0937
> 61
 groupcode11 |   2.633563   .2284294    11.53   0.000     2.171521    3.0956
> 06
 groupcode12 |   5.204082   .5831577     8.92   0.000     4.024535     6.383
> 63
 groupcode13 |  -5.555321   .4038625   -13.76   0.000     -6.37221   -4.7384
> 32
 groupcode14 |  -.5736296   .1282938    -4.47   0.000    -.8331283   -.31413
> 09
 groupcode15 |   -6.01494   .2989216   -20.12   0.000    -6.619566   -5.4103
> 14
 groupcode16 |   6.004614    .460185    13.05   0.000     5.073802    6.9354
> 26
 groupcode17 |   .4014497    .011497    34.92   0.000     .3781948    .42470
> 45
 groupcode18 |   1.847851   .1061151    17.41   0.000     1.633213    2.0624
> 89
 groupcode19 |   1.709604   .1164554    14.68   0.000     1.474051    1.9451
> 57
 groupcode20 |          0  (omitted)
 groupcode21 |          0  (omitted)
 groupcode22 |   3.199323   .2336901    13.69   0.000      2.72664    3.6720
> 05
 groupcode23 |  -2.288272   .4798075    -4.77   0.000    -3.258774    -1.317
> 77
 groupcode24 |  -.8657809   .3320906    -2.61   0.013    -1.537498   -.19406
> 43
 groupcode25 |  -3.283457    .479041    -6.85   0.000    -4.252409   -2.3145
> 05
 groupcode26 |  -1.797086   .3308356    -5.43   0.000    -2.466265   -1.1279
> 08
 groupcode27 |   2.490003    .322141     7.73   0.000     1.838411    3.1415
> 95
 groupcode28 |   1.904817   .3433963     5.55   0.000     1.210232    2.5994
> 02
 groupcode29 |   2.493212   .3957838     6.30   0.000     1.692664     3.293
> 76
 groupcode30 |   2.373127   .4970674     4.77   0.000     1.367713     3.378
> 54
 groupcode31 |   3.047285   .2679596    11.37   0.000     2.505286    3.5892
> 85
 groupcode32 |  -.8632991   .4775081    -1.81   0.078     -1.82915    .10255
> 21
 groupcode33 |   5.633619   .2349384    23.98   0.000     5.158411    6.1088
> 27
 groupcode34 |    .636456   .3058198     2.08   0.044     .0178771    1.2550
> 35
 groupcode35 |  -.7449261   .4730062    -1.57   0.123    -1.701672    .21181
> 93
 groupcode36 |   1.882814   .1285908    14.64   0.000     1.622715    2.1429
> 14
 groupcode37 |   2.961712   .4031609     7.35   0.000     2.146242    3.7771
> 82
 groupcode38 |   3.620648   .2940156    12.31   0.000     3.025945    4.2153
> 51
 groupcode39 |    6.36774   .0168622   377.63   0.000     6.333633    6.4018
> 47
 groupcode40 |   7.361208   .3301012    22.30   0.000     6.693515    8.0289
> 01
periodinph~e |  -.1089006   .0401658    -2.71   0.010    -.1901436   -.02765
> 77
ave_Otherc~l |   .4340117   .0582514     7.45   0.000     .3161871    .55183
> 62
  punished_l |  -.7982242   .5322244    -1.50   0.142     -1.87475    .27830
> 11
punishment_l |  -.3575761    .151632    -2.36   0.023    -.6642809   -.05087
> 14
       _cons |   22.32708   .8251723    27.06   0.000     20.65801    23.996
> 14
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. esttab FEgt FEgtc using addtab1s.tex, replace /// Table size adjusted manu
> ally with \adjustbox
>                                         title("Profits: regression results
> " \label{tab7}) ///
>                                         label mti b(4) se(4) star(* 0.10 *
> * 0.05 *** 0.01) ///
>                                         obslast keep(dddem puntreat demtre
> at ave_Othercontribution_l punished_l punishment_l) ///
>                                         scalars("cont Other Controls" "ife
>  Individual FE" "gfe group FE" "trend Trend within phase" "r2 R-squared" "
> N Observations") ///
>                                         nonotes addnotes("Notes: Dependent
>  variable=Profits(ECU)." "Other controls include: gender, economics's stud
> ent, parent's education and labor status, and income related information,"
>  "member of student union, whether the student is a single child, has a sc
> holarship, has a job, ethnicity, partymember and student leader." "Standar
> d errors clustered at group level in parenthesis." "\hspace{.2cm} \sym{*} 
> Significant at the  10 percent level." "\hspace{.05cm} \sym{**} Significan
> t at the \hspace{.05cm} 5 percent level." "\sym{***} Significant at the \h
> space{.05cm} 1 percent level.")
(note: file addtab1s.tex not found)
(output written to addtab1s.tex)

. 
. est clear

. 
. **************************************************************************
> ******
. * Table 2: Determinants of contributions conditional on manager�s contribu
> tion rank
. **************************************************************************
> ****** 
. 
. *** Rank cumulative contribution in VCM phase within group
. 
. bys group: egen temp = sum(manrank)

. *replace temp = 1 if temp == 0
. replace manrank = temp // manrank = 1,2,3,4,5
(3960 real changes made)

. drop temp

. 
. tab manrank, gen(manrankcode)

    Rank of |
  managers' |
 cumulative |
contributio |
  ns in VCM |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,400       60.00       60.00
          2 |        800       20.00       80.00
          3 |        200        5.00       85.00
          4 |        500       12.50       97.50
          5 |        100        2.50      100.00
------------+-----------------------------------
      Total |      4,000      100.00

. gen DD1 = dddem*manrankcode1

. label var DD1 "Democracy vs. Leviathan (MR=1)"

. gen DD2 = dddem*manrankcode2

. label var DD2 "Democracy vs. Leviathan (MR=2)"

. gen DD3 = dddem*manrankcode3

. label var DD3 "Democracy vs. Leviathan (MR=3)"

. gen DD4 = dddem*manrankcode4

. label var DD4 "Democracy vs. Leviathan (MR=4)"

. gen DD5 = dddem*manrankcode5

. label var DD5 "Democracy vs. Leviathan (MR=5)"

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 20
                delta:  1 unit

. 
. eststo FEgt: xi: reg contribution DD* puntreat demtreat i.subject groupcod
> e* periodinphase, vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: DD3 omitted because of collinearity
note: _Isubject_10 omitted because of collinearity
note: _Isubject_13 omitted because of collinearity
note: _Isubject_17 omitted because of collinearity
note: _Isubject_22 omitted because of collinearity
note: _Isubject_28 omitted because of collinearity
note: _Isubject_33 omitted because of collinearity
note: _Isubject_38 omitted because of collinearity
note: _Isubject_43 omitted because of collinearity
note: _Isubject_47 omitted because of collinearity
note: _Isubject_53 omitted because of collinearity
note: _Isubject_56 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_68 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_80 omitted because of collinearity
note: _Isubject_83 omitted because of collinearity
note: _Isubject_87 omitted because of collinearity
note: _Isubject_93 omitted because of collinearity
note: _Isubject_98 omitted because of collinearity
note: _Isubject_102 omitted because of collinearity
note: _Isubject_107 omitted because of collinearity
note: _Isubject_113 omitted because of collinearity
note: _Isubject_118 omitted because of collinearity
note: _Isubject_123 omitted because of collinearity
note: _Isubject_128 omitted because of collinearity
note: _Isubject_132 omitted because of collinearity
note: _Isubject_137 omitted because of collinearity
note: _Isubject_143 omitted because of collinearity
note: _Isubject_148 omitted because of collinearity
note: _Isubject_153 omitted because of collinearity
note: _Isubject_158 omitted because of collinearity
note: _Isubject_163 omitted because of collinearity
note: _Isubject_168 omitted because of collinearity
note: _Isubject_173 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_183 omitted because of collinearity
note: _Isubject_187 omitted because of collinearity
note: _Isubject_193 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode2 omitted because of collinearity
note: groupcode16 omitted because of collinearity

Linear regression                                      Number of obs =    40
> 00
                                                       F(  4,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.42
> 55
                                                       Root MSE      =  4.79
> 81

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
         DD1 |   .8024816   1.269836     0.63   0.531    -1.766004    3.3709
> 67
         DD2 |   .1458149   1.089438     0.13   0.894    -2.057781    2.3494
> 11
         DD3 |          0  (omitted)
         DD4 |  -1.160852   1.246234    -0.93   0.357    -3.681598    1.3598
> 95
         DD5 |  -1.847518   .6082365    -3.04   0.004    -3.077793   -.61724
> 39
    puntreat |   2.867518   .6082365     4.71   0.000     1.637244    4.0977
> 93
    demtreat |   .0804259    .623117     0.13   0.898    -1.179947    1.3407
> 99
 _Isubject_2 |         -4   3.74e-12 -1.1e+12   0.000           -4          
> -4
 _Isubject_3 |       3.95   2.46e-12  1.6e+12   0.000         3.95        3.
> 95
 _Isubject_4 |      -1.65   3.36e-12 -4.9e+11   0.000        -1.65       -1.
> 65
 _Isubject_5 |       -.15   3.01e-12 -5.0e+10   0.000         -.15        -.
> 15
 _Isubject_6 |       -2.6   1.92e-12 -1.4e+12   0.000         -2.6        -2
> .6
 _Isubject_7 |        1.3   2.31e-12  5.6e+11   0.000          1.3         1
> .3
 _Isubject_8 |      -4.65   1.67e-12 -2.8e+12   0.000        -4.65       -4.
> 65
 _Isubject_9 |       1.75   2.38e-12  7.4e+11   0.000         1.75        1.
> 75
_Isubject_10 |          0  (omitted)
_Isubject_11 |       4.25   2.79e-12  1.5e+12   0.000         4.25        4.
> 25
_Isubject_12 |       5.35   2.62e-12  2.0e+12   0.000         5.35        5.
> 35
_Isubject_13 |          0  (omitted)
_Isubject_14 |       7.85   2.22e-12  3.5e+12   0.000         7.85        7.
> 85
_Isubject_15 |        .35   3.38e-12  1.0e+11   0.000          .35         .
> 35
_Isubject_16 |        4.2   2.71e-12  1.5e+12   0.000          4.2         4
> .2
_Isubject_17 |          0  (omitted)
_Isubject_18 |        2.8   2.81e-12  1.0e+12   0.000          2.8         2
> .8
_Isubject_19 |        6.8   2.29e-12  3.0e+12   0.000          6.8         6
> .8
_Isubject_20 |       -1.9   3.60e-12 -5.3e+11   0.000         -1.9        -1
> .9
_Isubject_21 |       1.15   2.78e-12  4.1e+11   0.000         1.15        1.
> 15
_Isubject_22 |          0  (omitted)
_Isubject_23 |      -3.35   3.53e-12 -9.5e+11   0.000        -3.35       -3.
> 35
_Isubject_24 |      -2.05   3.34e-12 -6.1e+11   0.000        -2.05       -2.
> 05
_Isubject_25 |      -1.85   3.28e-12 -5.6e+11   0.000        -1.85       -1.
> 85
_Isubject_26 |        9.3   4.36e-12  2.1e+12   0.000          9.3         9
> .3
_Isubject_27 |       8.75   4.27e-12  2.0e+12   0.000         8.75        8.
> 75
_Isubject_28 |          0  (omitted)
_Isubject_29 |        .15   2.80e-12  5.4e+10   0.000          .15         .
> 15
_Isubject_30 |       -4.4   2.07e-12 -2.1e+12   0.000         -4.4        -4
> .4
_Isubject_31 |      -1.95   1.93e-12 -1.0e+12   0.000        -1.95       -1.
> 95
_Isubject_32 |        2.2   1.40e-12  1.6e+12   0.000          2.2         2
> .2
_Isubject_33 |          0  (omitted)
_Isubject_34 |        .45   1.66e-12  2.7e+11   0.000          .45         .
> 45
_Isubject_35 |       1.05   1.58e-12  6.7e+11   0.000         1.05        1.
> 05
_Isubject_36 |       -4.1   3.47e-12 -1.2e+12   0.000         -4.1        -4
> .1
_Isubject_37 |       -3.3   3.34e-12 -9.9e+11   0.000         -3.3        -3
> .3
_Isubject_38 |          0  (omitted)
_Isubject_39 |       -1.4   2.99e-12 -4.7e+11   0.000         -1.4        -1
> .4
_Isubject_40 |         .2   2.80e-12  7.1e+10   0.000           .2          
> .2
_Isubject_41 |       3.55   2.44e-12  1.5e+12   0.000         3.55        3.
> 55
_Isubject_42 |       4.95   2.24e-12  2.2e+12   0.000         4.95        4.
> 95
_Isubject_43 |          0  (omitted)
_Isubject_44 |        4.1   2.36e-12  1.7e+12   0.000          4.1         4
> .1
_Isubject_45 |       2.35   2.50e-12  9.4e+11   0.000         2.35        2.
> 35
_Isubject_46 |       -4.6   1.36e-12 -3.4e+12   0.000         -4.6        -4
> .6
_Isubject_47 |          0  (omitted)
_Isubject_48 |       -3.1   1.45e-12 -2.1e+12   0.000         -3.1        -3
> .1
_Isubject_49 |      -1.85   1.61e-12 -1.1e+12   0.000        -1.85       -1.
> 85
_Isubject_50 |       -5.6   1.21e-12 -4.6e+12   0.000         -5.6        -5
> .6
_Isubject_51 |         .4   1.98e-12  2.0e+11   0.000           .4          
> .4
_Isubject_52 |       -1.1   2.19e-12 -5.0e+11   0.000         -1.1        -1
> .1
_Isubject_53 |          0  (omitted)
_Isubject_54 |       -.55   2.12e-12 -2.6e+11   0.000         -.55        -.
> 55
_Isubject_55 |       1.45   1.93e-12  7.5e+11   0.000         1.45        1.
> 45
_Isubject_56 |          0  (omitted)
_Isubject_57 |       -1.2   2.49e-12 -4.8e+11   0.000         -1.2        -1
> .2
_Isubject_58 |        -.8   2.45e-12 -3.3e+11   0.000          -.8         -
> .8
_Isubject_59 |        .15   2.34e-12  6.4e+10   0.000          .15         .
> 15
_Isubject_60 |        2.2   1.83e-12  1.2e+12   0.000          2.2         2
> .2
_Isubject_61 |      -6.95   1.40e-12 -5.0e+12   0.000        -6.95       -6.
> 95
_Isubject_62 |      -7.85   1.55e-12 -5.1e+12   0.000        -7.85       -7.
> 85
_Isubject_63 |          0  (omitted)
_Isubject_64 |      -12.7   1.95e-12 -6.5e+12   0.000        -12.7       -12
> .7
_Isubject_65 |       -7.5   1.45e-12 -5.2e+12   0.000         -7.5        -7
> .5
_Isubject_66 |       2.35   1.95e-12  1.2e+12   0.000         2.35        2.
> 35
_Isubject_67 |       -3.1   2.59e-12 -1.2e+12   0.000         -3.1        -3
> .1
_Isubject_68 |          0  (omitted)
_Isubject_69 |       -.85   2.33e-12 -3.7e+11   0.000         -.85        -.
> 85
_Isubject_70 |        -.1   2.25e-12 -4.4e+10   0.000          -.1         -
> .1
_Isubject_71 |          2   3.45e-12  5.8e+11   0.000            2          
>  2
_Isubject_72 |       4.05   3.20e-12  1.3e+12   0.000         4.05        4.
> 05
_Isubject_73 |          0  (omitted)
_Isubject_74 |      15.45   1.73e-12  8.9e+12   0.000        15.45       15.
> 45
_Isubject_75 |       11.3   2.40e-12  4.7e+12   0.000         11.3        11
> .3
_Isubject_76 |       -1.1   4.03e-12 -2.7e+11   0.000         -1.1        -1
> .1
_Isubject_77 |       -.45   4.09e-12 -1.1e+11   0.000         -.45        -.
> 45
_Isubject_78 |        4.1   4.36e-12  9.4e+11   0.000          4.1         4
> .1
_Isubject_79 |        2.5   4.25e-12  5.9e+11   0.000          2.5         2
> .5
_Isubject_80 |          0  (omitted)
_Isubject_81 |      -9.35   3.54e-13 -2.6e+13   0.000        -9.35       -9.
> 35
_Isubject_82 |      -7.65   3.67e-13 -2.1e+13   0.000        -7.65       -7.
> 65
_Isubject_83 |          0  (omitted)
_Isubject_84 |       -5.6   4.61e-13 -1.2e+13   0.000         -5.6        -5
> .6
_Isubject_85 |         -4   6.48e-13 -6.2e+12   0.000           -4          
> -4
_Isubject_86 |      -1.15   2.99e-12 -3.8e+11   0.000        -1.15       -1.
> 15
_Isubject_87 |          0  (omitted)
_Isubject_88 |       1.35   2.73e-12  4.9e+11   0.000         1.35        1.
> 35
_Isubject_89 |        -.9   2.93e-12 -3.1e+11   0.000          -.9         -
> .9
_Isubject_90 |        2.8   2.58e-12  1.1e+12   0.000          2.8         2
> .8
_Isubject_91 |         .6   1.85e-12  3.2e+11   0.000           .6          
> .6
_Isubject_92 |       -1.5   2.02e-12 -7.4e+11   0.000         -1.5        -1
> .5
_Isubject_93 |          0  (omitted)
_Isubject_94 |       -1.5   2.00e-12 -7.5e+11   0.000         -1.5        -1
> .5
_Isubject_95 |        1.6   1.65e-12  9.7e+11   0.000          1.6         1
> .6
_Isubject_96 |       1.15   2.39e-12  4.8e+11   0.000         1.15        1.
> 15
_Isubject_97 |        9.3   1.46e-12  6.4e+12   0.000          9.3         9
> .3
_Isubject_98 |          0  (omitted)
_Isubject_99 |        3.3   2.14e-12  1.5e+12   0.000          3.3         3
> .3
_Isubjec~100 |        -.2   2.52e-12 -7.9e+10   0.000          -.2         -
> .2
_Isubjec~101 |       4.95   1.80e-12  2.8e+12   0.000         4.95        4.
> 95
_Isubjec~102 |          0  (omitted)
_Isubjec~103 |        1.6   2.14e-12  7.5e+11   0.000          1.6         1
> .6
_Isubjec~104 |        .45   2.22e-12  2.0e+11   0.000          .45         .
> 45
_Isubjec~105 |         .6   2.19e-12  2.7e+11   0.000           .6          
> .6
_Isubjec~106 |      -1.65   1.66e-12 -9.9e+11   0.000        -1.65       -1.
> 65
_Isubjec~107 |          0  (omitted)
_Isubjec~108 |        1.3   1.50e-12  8.7e+11   0.000          1.3         1
> .3
_Isubjec~109 |      -3.25   1.84e-12 -1.8e+12   0.000        -3.25       -3.
> 25
_Isubjec~110 |      -2.75   1.79e-12 -1.5e+12   0.000        -2.75       -2.
> 75
_Isubjec~111 |        1.7   1.85e-12  9.2e+11   0.000          1.7         1
> .7
_Isubjec~112 |        -.9   2.03e-12 -4.4e+11   0.000          -.9         -
> .9
_Isubjec~113 |          0  (omitted)
_Isubjec~114 |      -2.45   2.12e-12 -1.2e+12   0.000        -2.45       -2.
> 45
_Isubjec~115 |        -.4   1.96e-12 -2.0e+11   0.000          -.4         -
> .4
_Isubjec~116 |       -9.9   8.88e-13 -1.1e+13   0.000         -9.9        -9
> .9
_Isubjec~117 |       -6.2   6.13e-13 -1.0e+13   0.000         -6.2        -6
> .2
_Isubjec~118 |          0  (omitted)
_Isubjec~119 |       -3.1   5.20e-13 -6.0e+12   0.000         -3.1        -3
> .1
_Isubjec~120 |       -6.7   6.51e-13 -1.0e+13   0.000         -6.7        -6
> .7
_Isubjec~121 |       6.15   1.52e-12  4.0e+12   0.000         6.15        6.
> 15
_Isubjec~122 |       5.95   1.53e-12  3.9e+12   0.000         5.95        5.
> 95
_Isubjec~123 |          0  (omitted)
_Isubjec~124 |         .5   1.77e-12  2.8e+11   0.000           .5          
> .5
_Isubjec~125 |        4.5   1.64e-12  2.7e+12   0.000          4.5         4
> .5
_Isubjec~126 |        3.1   1.47e-12  2.1e+12   0.000          3.1         3
> .1
_Isubjec~127 |        2.7   1.48e-12  1.8e+12   0.000          2.7         2
> .7
_Isubjec~128 |          0  (omitted)
_Isubjec~129 |        3.1   1.44e-12  2.1e+12   0.000          3.1         3
> .1
_Isubjec~130 |       4.45   1.37e-12  3.3e+12   0.000         4.45        4.
> 45
_Isubjec~131 |       2.55   1.59e-12  1.6e+12   0.000         2.55        2.
> 55
_Isubjec~132 |          0  (omitted)
_Isubjec~133 |       3.65   1.50e-12  2.4e+12   0.000         3.65        3.
> 65
_Isubjec~134 |       1.05   1.68e-12  6.3e+11   0.000         1.05        1.
> 05
_Isubjec~135 |       -1.7   1.84e-12 -9.2e+11   0.000         -1.7        -1
> .7
_Isubjec~136 |       -4.8   1.40e-12 -3.4e+12   0.000         -4.8        -4
> .8
_Isubjec~137 |          0  (omitted)
_Isubjec~138 |       -5.2   1.41e-12 -3.7e+12   0.000         -5.2        -5
> .2
_Isubjec~139 |      -3.65   1.31e-12 -2.8e+12   0.000        -3.65       -3.
> 65
_Isubjec~140 |      -1.55   1.16e-12 -1.3e+12   0.000        -1.55       -1.
> 55
_Isubjec~141 |       -4.1   5.30e-13 -7.7e+12   0.000         -4.1        -4
> .1
_Isubjec~142 |       2.35   3.17e-13  7.4e+12   0.000         2.35        2.
> 35
_Isubjec~143 |          0  (omitted)
_Isubjec~144 |       -5.6   6.22e-13 -9.0e+12   0.000         -5.6        -5
> .6
_Isubjec~145 |       2.35   3.17e-13  7.4e+12   0.000         2.35        2.
> 35
_Isubjec~146 |      -2.15   6.69e-13 -3.2e+12   0.000        -2.15       -2.
> 15
_Isubjec~147 |       -1.3   6.17e-13 -2.1e+12   0.000         -1.3        -1
> .3
_Isubjec~148 |          0  (omitted)
_Isubjec~149 |      -1.15   5.84e-13 -2.0e+12   0.000        -1.15       -1.
> 15
_Isubjec~150 |      -1.85   6.10e-13 -3.0e+12   0.000        -1.85       -1.
> 85
_Isubjec~151 |       -1.7   3.57e-13 -4.8e+12   0.000         -1.7        -1
> .7
_Isubjec~152 |      -2.45   3.76e-13 -6.5e+12   0.000        -2.45       -2.
> 45
_Isubjec~153 |          0  (omitted)
_Isubjec~154 |      -4.75   4.80e-13 -9.9e+12   0.000        -4.75       -4.
> 75
_Isubjec~155 |        -.6   2.90e-13 -2.1e+12   0.000          -.6         -
> .6
_Isubjec~156 |      -1.35   4.60e-13 -2.9e+12   0.000        -1.35       -1.
> 35
_Isubjec~157 |         .4   3.78e-13  1.1e+12   0.000           .4          
> .4
_Isubjec~158 |          0  (omitted)
_Isubjec~159 |      -1.25   4.20e-13 -3.0e+12   0.000        -1.25       -1.
> 25
_Isubjec~160 |      -1.05   3.98e-13 -2.6e+12   0.000        -1.05       -1.
> 05
_Isubjec~161 |      -2.75   2.21e-13 -1.2e+13   0.000        -2.75       -2.
> 75
_Isubjec~162 |        .45   1.53e-13  2.9e+12   0.000          .45         .
> 45
_Isubjec~163 |          0  (omitted)
_Isubjec~164 |        -.3   1.54e-13 -1.9e+12   0.000          -.3         -
> .3
_Isubjec~165 |        1.7   1.56e-13  1.1e+13   0.000          1.7         1
> .7
_Isubjec~166 |        2.4   2.05e-13  1.2e+13   0.000          2.4         2
> .4
_Isubjec~167 |      -1.65   3.30e-13 -5.0e+12   0.000        -1.65       -1.
> 65
_Isubjec~168 |          0  (omitted)
_Isubjec~169 |       2.35   1.86e-13  1.3e+13   0.000         2.35        2.
> 35
_Isubjec~170 |       2.05   1.86e-13  1.1e+13   0.000         2.05        2.
> 05
_Isubjec~171 |       4.85   6.21e-14  7.8e+13   0.000         4.85        4.
> 85
_Isubjec~172 |        1.5   9.95e-14  1.5e+13   0.000          1.5         1
> .5
_Isubjec~173 |          0  (omitted)
_Isubjec~174 |        8.5   1.39e-13  6.1e+13   0.000          8.5         8
> .5
_Isubjec~175 |        5.9   1.09e-13  5.4e+13   0.000          5.9         5
> .9
_Isubjec~176 |        .05   2.70e-13  1.9e+11   0.000          .05         .
> 05
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |      -3.45   2.15e-13 -1.6e+13   0.000        -3.45       -3.
> 45
_Isubjec~179 |        .75   3.09e-13  2.4e+12   0.000          .75         .
> 75
_Isubjec~180 |         .4   3.14e-13  1.3e+12   0.000           .4          
> .4
_Isubjec~181 |       -3.2   4.28e-13 -7.5e+12   0.000         -3.2        -3
> .2
_Isubjec~182 |        .85   5.09e-13  1.7e+12   0.000          .85         .
> 85
_Isubjec~183 |          0  (omitted)
_Isubjec~184 |   1.347594   .0410378    32.84   0.000     1.264587    1.4306
> 01
_Isubjec~185 |      -4.65   4.86e-13 -9.6e+12   0.000        -4.65       -4.
> 65
_Isubjec~186 |       -.25   6.62e-13 -3.8e+11   0.000         -.25        -.
> 25
_Isubjec~187 |          0  (omitted)
_Isubjec~188 |      -1.55   6.63e-13 -2.3e+12   0.000        -1.55       -1.
> 55
_Isubjec~189 |        -.6   6.82e-13 -8.8e+11   0.000          -.6         -
> .6
_Isubjec~190 |          1   7.02e-13  1.4e+12   0.000            1          
>  1
_Isubjec~191 |       -1.8   9.39e-13 -1.9e+12   0.000         -1.8        -1
> .8
_Isubjec~192 |        4.1   9.75e-13  4.2e+12   0.000          4.1         4
> .1
_Isubjec~193 |          0  (omitted)
_Isubjec~194 |       2.05   9.66e-13  2.1e+12   0.000         2.05        2.
> 05
_Isubjec~195 |       -.65   9.65e-13 -6.7e+11   0.000         -.65        -.
> 65
_Isubjec~196 |       -.45   9.98e-13 -4.5e+11   0.000         -.45        -.
> 45
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |        1.6   1.02e-12  1.6e+12   0.000          1.6         1
> .6
_Isubjec~199 |        2.5   1.03e-12  2.4e+12   0.000          2.5         2
> .5
_Isubjec~200 |       4.75   1.03e-12  4.6e+12   0.000         4.75        4.
> 75
  groupcode1 |  -2.831667   .7787034    -3.64   0.001    -4.406743    -1.256
> 59
  groupcode2 |          0  (omitted)
  groupcode3 |  -4.581667   .7787034    -5.88   0.000    -6.156743    -3.006
> 59
  groupcode4 |  -3.703333   .7071378    -5.24   0.000    -5.133655   -2.2730
> 12
  groupcode5 |      -1.55   3.74e-12 -4.1e+11   0.000        -1.55       -1.
> 55
  groupcode6 |        -.4   4.10e-12 -9.8e+10   0.000          -.4         -
> .4
  groupcode7 |        .05   3.07e-12  1.6e+10   0.000          .05         .
> 05
  groupcode8 |  -1.703333   .7071378    -2.41   0.021    -3.133655   -.27301
> 21
  groupcode9 |       -3.2   3.57e-12 -9.0e+11   0.000         -3.2        -3
> .2
 groupcode10 |   3.946667   .7071378     5.58   0.000     2.516345    5.3769
> 88
 groupcode11 |       -1.2   3.16e-12 -3.8e+11   0.000         -1.2        -1
> .2
 groupcode12 |   3.846667   .7071378     5.44   0.000     2.416345    5.2769
> 88
 groupcode13 |        4.5   2.66e-12  1.7e+12   0.000          4.5         4
> .5
 groupcode14 |  -4.531667   .7787034    -5.82   0.000    -6.106743    -2.956
> 59
 groupcode15 |       -7.6   3.82e-12 -2.0e+12   0.000         -7.6        -7
> .6
 groupcode16 |          0  (omitted)
 groupcode17 |        8.6   2.57e-12  3.4e+12   0.000          8.6         8
> .6
 groupcode18 |  -5.806667   .5438619   -10.68   0.000    -6.906731   -4.7066
> 02
 groupcode19 |  -4.931667   .7787034    -6.33   0.000    -6.506743    -3.356
> 59
 groupcode20 |        1.2   3.62e-12  3.3e+11   0.000          1.2         1
> .2
 groupcode21 |      -7.35   3.50e-12 -2.1e+12   0.000        -7.35       -7.
> 35
 groupcode22 |  -1.531667   .7787034    -1.97   0.056    -3.106743    .04340
> 96
 groupcode23 |      -5.45   2.89e-12 -1.9e+12   0.000        -5.45       -5.
> 45
 groupcode24 |   5.018333   .7787034     6.44   0.000     3.443257     6.593
> 41
 groupcode25 |       -9.2   2.81e-12 -3.3e+12   0.000         -9.2        -9
> .2
 groupcode26 |       -4.7   2.75e-12 -1.7e+12   0.000         -4.7        -4
> .7
 groupcode27 |      -4.65   2.83e-12 -1.6e+12   0.000        -4.65       -4.
> 65
 groupcode28 |        -.9   2.60e-12 -3.5e+11   0.000          -.9         -
> .9
 groupcode29 |   .6183333   .7787034     0.79   0.432    -.9567429     2.193
> 41
 groupcode30 |       -4.1   2.45e-12 -1.7e+12   0.000         -4.1        -4
> .1
 groupcode31 |  -.3033333   .7071378    -0.43   0.670    -1.733655    1.1269
> 88
 groupcode32 |      -5.35   2.43e-12 -2.2e+12   0.000        -5.35       -5.
> 35
 groupcode33 |  -2.881667   .7787034    -3.70   0.001    -4.456743    -1.306
> 59
 groupcode34 |      -4.05   2.41e-12 -1.7e+12   0.000        -4.05       -4.
> 05
 groupcode35 |         -9   2.40e-12 -3.7e+12   0.000           -9          
> -9
 groupcode36 |  -4.031667   .7787034    -5.18   0.000    -5.606743    -2.456
> 59
 groupcode37 |      -4.85   2.47e-12 -2.0e+12   0.000        -4.85       -4.
> 85
 groupcode38 |  -1.703333   .7071378    -2.41   0.021    -3.133655   -.27301
> 21
 groupcode39 |        .05   2.51e-12  2.0e+10   0.000          .05         .
> 05
 groupcode40 |  -2.831667   .7787034    -3.64   0.001    -4.406743    -1.256
> 59
periodinph~e |  -.1308057   .0507171    -2.58   0.014    -.2333908   -.02822
> 06
       _cons |   8.785672   .4899891    17.93   0.000     7.794576    9.7767
> 69
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

. 
. eststo FEgtc: xi: reg contribution DD* puntreat demtreat i.subject groupco
> de* periodinphase ///
>                                         ave_Othercontribution_l punished_l
>  punishment_l, ///
>                                         vce(cluster group)
i.subject         _Isubject_1-200     (naturally coded; _Isubject_1 omitted)
note: DD3 omitted because of collinearity
note: _Isubject_6 omitted because of collinearity
note: _Isubject_14 omitted because of collinearity
note: _Isubject_20 omitted because of collinearity
note: _Isubject_25 omitted because of collinearity
note: _Isubject_27 omitted because of collinearity
note: _Isubject_31 omitted because of collinearity
note: _Isubject_39 omitted because of collinearity
note: _Isubject_41 omitted because of collinearity
note: _Isubject_47 omitted because of collinearity
note: _Isubject_54 omitted because of collinearity
note: _Isubject_58 omitted because of collinearity
note: _Isubject_63 omitted because of collinearity
note: _Isubject_66 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_76 omitted because of collinearity
note: _Isubject_82 omitted because of collinearity
note: _Isubject_86 omitted because of collinearity
note: _Isubject_94 omitted because of collinearity
note: _Isubject_100 omitted because of collinearity
note: _Isubject_105 omitted because of collinearity
note: _Isubject_108 omitted because of collinearity
note: _Isubject_111 omitted because of collinearity
note: _Isubject_118 omitted because of collinearity
note: _Isubject_123 omitted because of collinearity
note: _Isubject_127 omitted because of collinearity
note: _Isubject_133 omitted because of collinearity
note: _Isubject_138 omitted because of collinearity
note: _Isubject_145 omitted because of collinearity
note: _Isubject_146 omitted because of collinearity
note: _Isubject_151 omitted because of collinearity
note: _Isubject_157 omitted because of collinearity
note: _Isubject_161 omitted because of collinearity
note: _Isubject_168 omitted because of collinearity
note: _Isubject_175 omitted because of collinearity
note: _Isubject_177 omitted because of collinearity
note: _Isubject_184 omitted because of collinearity
note: _Isubject_189 omitted because of collinearity
note: _Isubject_191 omitted because of collinearity
note: _Isubject_197 omitted because of collinearity
note: groupcode20 omitted because of collinearity
note: groupcode21 omitted because of collinearity

Linear regression                                      Number of obs =    38
> 00
                                                       F(  7,    39) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.47
> 53
                                                       Root MSE      =  4.63
> 28

                                 (Std. Err. adjusted for 40 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
         DD1 |   .6178944   .8295608     0.74   0.461    -1.060051    2.2958
> 39
         DD2 |   .2301037   .7189776     0.32   0.751    -1.224166    1.6843
> 73
         DD3 |          0  (omitted)
         DD4 |  -.9962512   .6656968    -1.50   0.143     -2.34275    .35024
> 77
         DD5 |  -1.178836   .3879303    -3.04   0.004    -1.963499   -.39417
> 33
    puntreat |   2.057345   .3936108     5.23   0.000     1.261192    2.8534
> 97
    demtreat |  -4.192112   .7039209    -5.96   0.000    -5.615927   -2.7682
> 98
 _Isubject_2 |  -4.286279   .0721619   -59.40   0.000     -4.43224   -4.1403
> 18
 _Isubject_3 |   4.634735   .0694756    66.71   0.000     4.494207    4.7752
> 63
 _Isubject_4 |  -1.344661   .0272929   -49.27   0.000    -1.399866   -1.2894
> 56
 _Isubject_5 |   .1599308   .0398211     4.02   0.000     .0793851    .24047
> 65
 _Isubject_6 |          0  (omitted)
 _Isubject_7 |   3.945843   .1683976    23.43   0.000     3.605227    4.2864
> 59
 _Isubject_8 |   -1.86294   .0667125   -27.92   0.000    -1.997879   -1.7280
> 01
 _Isubject_9 |   4.875258   .1152588    42.30   0.000     4.642125     5.108
> 39
_Isubject_10 |   3.251645   .0738125    44.05   0.000     3.102345    3.4009
> 44
_Isubject_11 |  -3.851621   .0714894   -53.88   0.000    -3.996222    -3.707
> 02
_Isubject_12 |  -2.566962   .0319819   -80.26   0.000    -2.631652   -2.5022
> 73
_Isubject_13 |  -8.388174   .1864045   -45.00   0.000    -8.765213   -8.0111
> 36
_Isubject_14 |          0  (omitted)
_Isubject_15 |  -7.815321   .0963506   -81.11   0.000    -8.010209   -7.6204
> 34
_Isubject_16 |   6.318962   .2487324    25.40   0.000     5.815853    6.8220
> 71
_Isubject_17 |   1.656712   .1822934     9.09   0.000     1.287989    2.0254
> 35
_Isubject_18 |   4.800169   .2050356    23.41   0.000     4.385446    5.2148
> 93
_Isubject_19 |   9.040023   .2593127    34.86   0.000     8.515514    9.5645
> 33
_Isubject_20 |          0  (omitted)
_Isubject_21 |   3.236695   .1451784    22.29   0.000     2.943044    3.5303
> 46
_Isubject_22 |   1.622767   .0665769    24.37   0.000     1.488102    1.7574
> 31
_Isubject_23 |   -1.49887   .0778907   -19.24   0.000    -1.656418   -1.3413
> 21
_Isubject_24 |  -.3263471   .1018034    -3.21   0.003    -.5322638   -.12043
> 03
_Isubject_25 |          0  (omitted)
_Isubject_26 |   .0128836   .0559913     0.23   0.819    -.1003695    .12613
> 66
_Isubject_27 |          0  (omitted)
_Isubject_28 |  -10.12805   .2057214   -49.23   0.000    -10.54416   -9.7119
> 39
_Isubject_29 |  -9.723773    .112263   -86.62   0.000    -9.950847     -9.49
> 67
_Isubject_30 |  -15.06133   .2844027   -52.96   0.000    -15.63659   -14.486
> 07
_Isubject_31 |          0  (omitted)
_Isubject_32 |   5.361962   .1184597    45.26   0.000     5.122355     5.601
> 57
_Isubject_33 |   2.430985   .0287838    84.46   0.000     2.372764    2.4892
> 05
_Isubject_34 |   3.051799   .0436065    69.98   0.000     2.963596    3.1400
> 01
_Isubject_35 |   3.770381   .1142523    33.00   0.000     3.539283    4.0014
> 78
_Isubject_36 |  -2.650446   .0520896   -50.88   0.000    -2.755807   -2.5450
> 85
_Isubject_37 |  -1.698368   .0334455   -50.78   0.000    -1.766018   -1.6307
> 18
_Isubject_38 |   1.570593   .0841373    18.67   0.000     1.400409    1.7407
> 77
_Isubject_39 |          0  (omitted)
_Isubject_40 |   2.098862   .0337669    62.16   0.000     2.030562    2.1671
> 62
_Isubject_41 |          0  (omitted)
_Isubject_42 |   2.074813   .1061926    19.54   0.000     1.860018    2.2896
> 07
_Isubject_43 |  -3.607858    .064207   -56.19   0.000    -3.737729   -3.4779
> 87
_Isubject_44 |    .881036   .1048326     8.40   0.000     .6689919     1.093
> 08
_Isubject_45 |  -.9439582   .1007306    -9.37   0.000    -1.147705   -.74021
> 13
_Isubject_46 |  -5.009665   .1830663   -27.37   0.000    -5.379951   -4.6393
> 78
_Isubject_47 |          0  (omitted)
_Isubject_48 |  -2.998361   .1806349   -16.60   0.000    -3.363729   -2.6329
> 92
_Isubject_49 |  -1.822706   .1788733   -10.19   0.000    -2.184511     -1.46
> 09
_Isubject_50 |  -5.611444   .1494662   -37.54   0.000    -5.913767    -5.309
> 12
_Isubject_51 |   1.017802   .0205556    49.51   0.000      .976224    1.0593
> 79
_Isubject_52 |  -.4868313     .02093   -23.26   0.000    -.5291662   -.44449
> 63
_Isubject_53 |   .5494931   .0321479    17.09   0.000     .4844678    .61451
> 84
_Isubject_54 |          0  (omitted)
_Isubject_55 |   2.229367   .0818979    27.22   0.000     2.063712    2.3950
> 21
_Isubject_56 |   1.188042   .0617972    19.22   0.000     1.063045    1.3130
> 38
_Isubject_57 |   .0082991   .1154585     0.07   0.943    -.2252377    .24183
> 59
_Isubject_58 |          0  (omitted)
_Isubject_59 |   .9237201   .0742218    12.45   0.000     .7735924    1.0738
> 48
_Isubject_60 |    2.80794   .0517246    54.29   0.000     2.703317    2.9125
> 63
_Isubject_61 |  -8.453844    .132839   -63.64   0.000    -8.722536   -8.1851
> 52
_Isubject_62 |  -8.857481   .1693451   -52.30   0.000    -9.200014   -8.5149
> 48
_Isubject_63 |          0  (omitted)
_Isubject_64 |   -14.4179   .2163525   -66.64   0.000    -14.85552   -13.980
> 29
_Isubject_65 |  -8.723901   .1322255   -65.98   0.000    -8.991352   -8.4564
> 49
_Isubject_66 |          0  (omitted)
_Isubject_67 |  -5.810127   .1004098   -57.86   0.000    -6.013225   -5.6070
> 29
_Isubject_68 |  -2.492275   .0687024   -36.28   0.000    -2.631239   -2.3533
> 11
_Isubject_69 |   -3.47648   .0740506   -46.95   0.000    -3.626262   -3.3266
> 99
_Isubject_70 |   -2.34894   .0695721   -33.76   0.000    -2.489663   -2.2082
> 17
_Isubject_71 |    3.17387   .1490791    21.29   0.000     2.872329    3.4754
> 11
_Isubject_72 |   5.356065   .2096352    25.55   0.000     4.932038    5.7800
> 92
_Isubject_73 |          0  (omitted)
_Isubject_74 |   17.58757   .3058351    57.51   0.000     16.96896    18.206
> 18
_Isubject_75 |   13.33539   .2730891    48.83   0.000     12.78302    13.887
> 76
_Isubject_76 |          0  (omitted)
_Isubject_77 |   .1641574   .1494812     1.10   0.279    -.1381968    .46651
> 17
_Isubject_78 |   5.158862    .076634    67.32   0.000     5.003855    5.3138
> 69
_Isubject_79 |   3.576882   .0712123    50.23   0.000     3.432841    3.7209
> 22
_Isubject_80 |    1.12204   .0716343    15.66   0.000      .977146    1.2669
> 34
_Isubject_81 |  -1.756347   .0742683   -23.65   0.000    -1.906569   -1.6061
> 26
_Isubject_82 |          0  (omitted)
_Isubject_83 |   8.359746   .1652278    50.60   0.000     8.025541     8.693
> 95
_Isubject_84 |    1.99238   .0828462    24.05   0.000     1.824808    2.1599
> 53
_Isubject_85 |   3.844404   .1416659    27.14   0.000     3.557858    4.1309
> 51
_Isubject_86 |          0  (omitted)
_Isubject_87 |   1.575262   .0528627    29.80   0.000     1.468337    1.6821
> 87
_Isubject_88 |   2.619594   .0319819    81.91   0.000     2.554904    2.6842
> 83
_Isubject_89 |   .2787161   .0647886     4.30   0.000     .1476689    .40976
> 33
_Isubject_90 |   4.279407   .0722725    59.21   0.000     4.133222    4.4255
> 92
_Isubject_91 |   2.791772    .084548    33.02   0.000     2.620758    2.9627
> 87
_Isubject_92 |   .0742028    .029846     2.49   0.017     .0138335    .13457
> 21
_Isubject_93 |   1.839791   .0652316    28.20   0.000     1.707847    1.9717
> 34
_Isubject_94 |          0  (omitted)
_Isubject_95 |   3.767403   .1032337    36.49   0.000     3.558593    3.9762
> 13
_Isubject_96 |   1.227886   .0758918    16.18   0.000      1.07438    1.3813
> 92
_Isubject_97 |   10.06909   .2139988    47.05   0.000     9.636234    10.501
> 94
_Isubject_98 |   .4235336   .0980406     4.32   0.000     .2252278    .62183
> 94
_Isubject_99 |   4.190812   .1752708    23.91   0.000     3.836293    4.5453
> 31
_Isubjec~100 |          0  (omitted)
_Isubjec~101 |   4.760268    .107206    44.40   0.000     4.543423    4.9771
> 13
_Isubjec~102 |  -.7420778   .0879339    -8.44   0.000    -.9199408   -.56421
> 47
_Isubjec~103 |   1.106164   .0897811    12.32   0.000     .9245646    1.2877
> 63
_Isubjec~104 |  -.2165662   .0246216    -8.80   0.000     -.266368   -.16676
> 44
_Isubjec~105 |          0  (omitted)
_Isubjec~106 |  -3.364139   .0705807   -47.66   0.000    -3.506902   -3.2213
> 76
_Isubjec~107 |  -1.481193   .0143592  -103.15   0.000    -1.510237   -1.4521
> 48
_Isubjec~108 |          0  (omitted)
_Isubjec~109 |  -5.716849   .1320971   -43.28   0.000    -5.984041   -5.4496
> 57
_Isubjec~110 |  -4.607236   .0784721   -58.71   0.000     -4.76596   -4.4485
> 11
_Isubjec~111 |          0  (omitted)
_Isubjec~112 |  -3.012342   .0834172   -36.11   0.000     -3.18107   -2.8436
> 15
_Isubjec~113 |  -1.974009   .0234969   -84.01   0.000    -2.021536   -1.9264
> 82
_Isubjec~114 |  -4.313598   .1042903   -41.36   0.000    -4.524545   -4.1026
> 51
_Isubjec~115 |  -2.425596   .0536672   -45.20   0.000    -2.534148   -2.3170
> 44
_Isubjec~116 |  -10.93367   .2721284   -40.18   0.000     -11.4841   -10.383
> 23
_Isubjec~117 |  -7.590637    .080308   -94.52   0.000    -7.753076   -7.4281
> 99
_Isubjec~118 |          0  (omitted)
_Isubjec~119 |  -3.844126   .0404669   -94.99   0.000    -3.925978   -3.7622
> 74
_Isubjec~120 |  -7.712802   .0841475   -91.66   0.000    -7.883006   -7.5425
> 97
_Isubjec~121 |    6.42234   .2051545    31.30   0.000     6.007376    6.8373
> 04
_Isubjec~122 |   5.921003   .1965048    30.13   0.000     5.523535    6.3184
> 72
_Isubjec~123 |          0  (omitted)
_Isubjec~124 |   .5279511   .0424647    12.43   0.000     .4420581     .6138
> 44
_Isubjec~125 |    4.66602   .1617657    28.84   0.000     4.338818    4.9932
> 21
_Isubjec~126 |   .3683248   .0418327     8.80   0.000     .2837102    .45293
> 94
_Isubjec~127 |          0  (omitted)
_Isubjec~128 |  -3.169239   .1517941   -20.88   0.000    -3.476272   -2.8622
> 06
_Isubjec~129 |   .4890073   .0439592    11.12   0.000     .4000915    .57792
> 31
_Isubjec~130 |   1.867639   .1106957    16.87   0.000     1.643736    2.0915
> 43
_Isubjec~131 |   -1.01776   .0156646   -64.97   0.000    -1.049445   -.98607
> 56
_Isubjec~132 |  -3.980533   .0701438   -56.75   0.000    -4.122412   -3.8386
> 54
_Isubjec~133 |          0  (omitted)
_Isubjec~134 |  -3.136946   .0877414   -35.75   0.000     -3.31442   -2.9594
> 72
_Isubjec~135 |  -5.663551   .1152289   -49.15   0.000    -5.896624   -5.4304
> 79
_Isubjec~136 |  -.0209204   .0266187    -0.79   0.437    -.0747619     .0329
> 21
_Isubjec~137 |   5.449575   .0934236    58.33   0.000     5.260608    5.6385
> 42
_Isubjec~138 |          0  (omitted)
_Isubjec~139 |   1.287859   .0265906    48.43   0.000     1.234074    1.3416
> 43
_Isubjec~140 |    3.70226   .0487915    75.88   0.000      3.60357     3.800
> 95
_Isubjec~141 |  -7.153416   .1286375   -55.61   0.000     -7.41361   -6.8932
> 22
_Isubjec~142 |  -.2964081   .0577804    -5.13   0.000    -.4132801   -.17953
> 61
_Isubjec~143 |   -2.28959     .07184   -31.87   0.000      -2.4349    -2.144
> 28
_Isubjec~144 |  -8.534821   .2699707   -31.61   0.000    -9.080888   -7.9887
> 54
_Isubjec~145 |          0  (omitted)
_Isubjec~146 |          0  (omitted)
_Isubjec~147 |    1.06873    .141707     7.54   0.000     .7821005     1.355
> 36
_Isubjec~148 |   2.887588   .1428383    20.22   0.000      2.59867    3.1765
> 06
_Isubjec~149 |   1.337402   .0993786    13.46   0.000      1.13639    1.5384
> 15
_Isubjec~150 |   .8288198   .1413404     5.86   0.000     .5429319    1.1147
> 08
_Isubjec~151 |          0  (omitted)
_Isubjec~152 |  -1.021806     .03348   -30.52   0.000    -1.089525   -.95408
> 59
_Isubjec~153 |   1.523489   .0430684    35.37   0.000     1.436375    1.6106
> 03
_Isubjec~154 |   -3.57806   .1412286   -25.34   0.000    -3.863722   -3.2923
> 98
_Isubjec~155 |   1.622158   .0493879    32.85   0.000     1.522262    1.7220
> 55
_Isubjec~156 |  -1.790733    .127915   -14.00   0.000    -2.049466   -1.5320
> 01
_Isubjec~157 |          0  (omitted)
_Isubjec~158 |  -.8237194   .1181271    -6.97   0.000    -1.062654   -.58478
> 49
_Isubjec~159 |  -1.626341    .025111   -64.77   0.000    -1.677133    -1.575
> 55
_Isubjec~160 |  -1.846676    .114262   -16.16   0.000    -2.077793    -1.615
> 56
_Isubjec~161 |          0  (omitted)
_Isubjec~162 |   3.472394   .0445059    78.02   0.000     3.382372    3.5624
> 15
_Isubjec~163 |   2.579958   .0776868    33.21   0.000     2.422822    2.7370
> 95
_Isubjec~164 |   2.517116   .0769112    32.73   0.000     2.361549    2.6726
> 84
_Isubjec~165 |   4.581702    .104455    43.86   0.000     4.370422    4.7929
> 83
_Isubjec~166 |   2.576163   .0782662    32.92   0.000     2.417854    2.7344
> 71
_Isubjec~167 |     -1.701   .0719543   -23.64   0.000    -1.846541   -1.5554
> 58
_Isubjec~168 |          0  (omitted)
_Isubjec~169 |   2.567462    .100569    25.53   0.000     2.364042    2.7708
> 82
_Isubjec~170 |   2.288497   .0709679    32.25   0.000     2.144951    2.4320
> 43
_Isubjec~171 |  -1.458361   .0338985   -43.02   0.000    -1.526928   -1.3897
> 95
_Isubjec~172 |   -5.30645   .0777849   -68.22   0.000    -5.463785   -5.1491
> 15
_Isubjec~173 |  -6.749226   .1025948   -65.79   0.000    -6.956743   -6.5417
> 08
_Isubjec~174 |   2.772098   .1175334    23.59   0.000     2.534365    3.0098
> 32
_Isubjec~175 |          0  (omitted)
_Isubjec~176 |   .0369492   .0300737     1.23   0.227    -.0238807     .0977
> 79
_Isubjec~177 |          0  (omitted)
_Isubjec~178 |  -4.034037   .0645607   -62.48   0.000    -4.164623    -3.903
> 45
_Isubjec~179 |   1.341628   .0805432    16.66   0.000     1.178714    1.5045
> 42
_Isubjec~180 |  -.1380961   .1026702    -1.35   0.186    -.3457661    .06957
> 39
_Isubjec~181 |  -5.415445   .0629177   -86.07   0.000    -5.542708   -5.2881
> 82
_Isubjec~182 |   -.762713   .0255402   -29.86   0.000    -.8143729    -.7110
> 53
_Isubjec~183 |  -1.455804   .0291064   -50.02   0.000    -1.514677    -1.396
> 93
_Isubjec~184 |          0  (omitted)
_Isubjec~185 |  -6.564098   .0807307   -81.31   0.000    -6.727392   -6.4008
> 05
_Isubjec~186 |   .4387711   .0682619     6.43   0.000     .3006984    .57684
> 38
_Isubjec~187 |   .7655339   .0354314    21.61   0.000     .6938671    .83720
> 08
_Isubjec~188 |  -.8086472    .018232   -44.35   0.000    -.8455249   -.77176
> 95
_Isubjec~189 |          0  (omitted)
_Isubjec~190 |   1.538576   .1040469    14.79   0.000     1.328121    1.7490
> 31
_Isubjec~191 |          0  (omitted)
_Isubjec~192 |   6.872498   .0757018    90.78   0.000     6.719377     7.025
> 62
_Isubjec~193 |    2.04339   .0189281   107.96   0.000     2.005105    2.0816
> 76
_Isubjec~194 |   4.406587   .0569925    77.32   0.000     4.291309    4.5218
> 65
_Isubjec~195 |   1.270015   .0192245    66.06   0.000      1.23113    1.3089
> 01
_Isubjec~196 |  -.2541209   .2145006    -1.18   0.243    -.6879892    .17974
> 75
_Isubjec~197 |          0  (omitted)
_Isubjec~198 |   2.092091   .2484725     8.42   0.000     1.589508    2.5946
> 74
_Isubjec~199 |   2.641293   .2522627    10.47   0.000     2.131044    3.1515
> 43
_Isubjec~200 |   5.545921   .2610488    21.24   0.000       5.0179    6.0739
> 42
  groupcode1 |   2.348904   .5160384     4.55   0.000     1.305118     3.392
> 69
  groupcode2 |  -2.305102   .2524304    -9.13   0.000    -2.815691   -1.7945
> 14
  groupcode3 |   8.532914   .5361778    15.91   0.000     7.448392    9.6174
> 36
  groupcode4 |  -.6523394   .4596323    -1.42   0.164    -1.582033    .27735
> 47
  groupcode5 |  -2.028704   .3969657    -5.11   0.000    -2.831643   -1.2257
> 65
  groupcode6 |   13.09787   .3297642    39.72   0.000     12.43085    13.764
> 88
  groupcode7 |  -1.986401   .2491262    -7.97   0.000    -2.490306   -1.4824
> 95
  groupcode8 |   2.518381   .4350987     5.79   0.000      1.63831    3.3984
> 51
  groupcode9 |   .5727872   .2400912     2.39   0.022     .0871571    1.0584
> 17
 groupcode10 |   8.261115   .4694136    17.60   0.000     7.311636    9.2105
> 94
 groupcode11 |  -1.034298   .3177749    -3.25   0.002    -1.677058   -.39153
> 74
 groupcode12 |   6.207745    .601712    10.32   0.000     4.990668    7.4248
> 23
 groupcode13 |   6.963675   .4832386    14.41   0.000     5.986233    7.9411
> 18
 groupcode14 |   4.331844   .4862916     8.91   0.000     3.348226    5.3154
> 61
 groupcode15 |  -8.308829   .1917702   -43.33   0.000    -8.696721   -7.9209
> 37
 groupcode16 |   3.393512   .3581583     9.47   0.000     2.669068    4.1179
> 56
 groupcode17 |   .2072837   .0681909     3.04   0.004     .0693546    .34521
> 28
 groupcode18 |  -.6343565    .294365    -2.16   0.037    -1.229766   -.03894
> 72
 groupcode19 |   -.602334   .4862186    -1.24   0.223    -1.585804    .38113
> 58
 groupcode20 |          0  (omitted)
 groupcode21 |          0  (omitted)
 groupcode22 |   5.528437   .5169323    10.69   0.000     4.482843    6.5740
> 31
 groupcode23 |  -1.195736   .5686681    -2.10   0.042    -2.345976   -.04549
> 62
 groupcode24 |   10.63616   .5556059    19.14   0.000     9.512337    11.759
> 97
 groupcode25 |   -6.88636   .4555315   -15.12   0.000    -7.807759    -5.964
> 96
 groupcode26 |  -1.005124   .3313599    -3.03   0.004    -1.675363   -.33488
> 53
 groupcode27 |    .786577   .4587823     1.71   0.094    -.1413977    1.7145
> 52
 groupcode28 |  -4.383452   .4233249   -10.35   0.000    -5.239707   -3.5271
> 96
 groupcode29 |   8.220229   .5552745    14.80   0.000     7.097081    9.3433
> 78
 groupcode30 |  -4.259989   .4915522    -8.67   0.000    -5.254248   -3.2657
> 31
 groupcode31 |   3.396605   .4755631     7.14   0.000     2.434688    4.3585
> 23
 groupcode32 |  -2.211114   .5667953    -3.90   0.000    -3.357566   -1.0646
> 62
 groupcode33 |   .0236243   .5278013     0.04   0.965    -1.043955    1.0912
> 03
 groupcode34 |    -2.7689   .3640302    -7.61   0.000     -3.50522   -2.0325
> 79
 groupcode35 |  -.7774507   .5324265    -1.46   0.152    -1.854385    .29948
> 36
 groupcode36 |   2.012356   .4996125     4.03   0.000     1.001794    3.0229
> 18
 groupcode37 |   -.670551   .5786562    -1.16   0.254    -1.840994    .49989
> 16
 groupcode38 |   2.791018   .4814303     5.80   0.000     1.817233    3.7648
> 02
 groupcode39 |  -2.186563   .2233611    -9.79   0.000    -2.638353   -1.7347
> 72
 groupcode40 |   2.125756   .6124778     3.47   0.001     .8869025    3.3646
> 09
periodinph~e |  -.1225684   .0298404    -4.11   0.000    -.1829262   -.06221
> 05
ave_Otherc~l |   .3895742   .0496046     7.85   0.000     .2892395    .48990
> 89
  punished_l |   .4501118   .4227533     1.06   0.294    -.4049874    1.3052
> 11
punishment_l |  -.1571442   .1288545    -1.22   0.230     -.417777    .10348
> 86
       _cons |    5.13779   .8388155     6.13   0.000     3.441125    6.8344
> 54
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

. 
. esttab FEgt FEgtc using addtab2s.tex, replace /// Table size adjusted manu
> ally with \adjustbox
>                                         title("Determinants of contributio
> ns conditional on manager's contribution Rank" \label{tab5}) ///
>                                         label mti b(4) se(4) star(* 0.10 *
> * 0.05 *** 0.01) ///
>                                         obslast keep(DD* puntreat demtreat
>  ave_Othercontribution_l punished_l punishment_l) ///
>                                         scalars("cont Other Controls" "ife
>  Individual FE" "gfe group FE" "trend Trend within phase" "r2 R-squared" "
> N Observations") ///
>                                         nonotes addnotes("Notes: Dependent
>  variable=contributions(ECU). MR: Manager's rank of cumulative contributio
> n in the first phase" "Other controls include: gender, economics's student
> , parent's education and labor status, and income related information," "m
> ember of student union, whether the student is a single child, has a schol
> arship, has a job, ethnicity, partymember and student leader." "Standard e
> rrors clustered at group level in parenthesis." "\hspace{.2cm} \sym{*} Sig
> nificant at the  10 percent level." "\hspace{.05cm} \sym{**} Significant a
> t the \hspace{.05cm} 5 percent level." "\sym{***} Significant at the \hspa
> ce{.05cm} 1 percent level.")
(note: file addtab2s.tex not found)
(output written to addtab2s.tex)

. 
. est clear

. 
. 
. 
end of do-file

. do multiple                     // perform analysis for Multiple selection
>  treatment

. **************************************************************************
> ******
. * "Political Accountability and Democratic Institutions: An Experimental A
> ssessment"
. * By Jose Gabriel Castillo and John Hamman
. * Journal of Experimental Political Science
. * 11/12/2019
. * Final program multiple choice
. **************************************************************************
> ******
. 
. use data2.dta, clear //data set is create in stata 13 version

. 
. **************************************************************************
> ******
. * Generate dummies for DD 
. **************************************************************************
> ******
. gen puntreat=0                          // punishment dummy: second phase

. replace puntreat=1 if phase == 2
(2820 real changes made)

. label var puntreat "punishment (P)"

. 
. gen demtreat=0                          // Democracy treatment 

. replace demtreat=1 if treatment == 2
(2640 real changes made)

. label var demtreat "Democracy (D)"

. 
. gen dddem=puntreat*demtreat //D-i-D: Pun*Dem

. label var dddem "Democracy vs. Leviathan (P*D)"

. 
. **************************************************************************
> ******
. * New variables for figures
. **************************************************************************
> ******
. xtset subject period                                                      
>       // panel data identifier
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 22
                delta:  1 unit

. 
. by group period, sort : egen float ave_groupcontribution = mean(contributi
> on)

. label var ave_groupcontribution "Average group contribution" // average co
> ntribution per group and round

. 
. gen ave_Othercontribution = (5*ave_groupcontribution - contribution)/4

. label var ave_Othercontribution "Average Fellow contribution" // average c
> ontribution of others in the group, per group and round

. 
. by institution period, sort : egen float ave_institutioncontribution = mea
> n(contribution)

. label var ave_institutioncontribution "Average contribution in Each instit
> ution" // average contribution of 15 members of treatment per group and ro
> und

. 
. by institution4 period, sort : egen float ave_institution4contribution = m
> ean(contribution)

. label var ave_institution4contribution "Average contribution in each sub-T
> reatment" // average contribution in each treatment

. 
. 
. by treatment period, sort : egen float ave_treatmentcontribution = mean(co
> ntribution)

. label var ave_treatmentcontribution "Average contribution in each Treatmen
> t" // average contribution per treatment(leviatan or democracy) in rounds(
> 1-20)

. 
. by institution period, sort : egen float ave_institutionpunishment = mean(
> punishment)
(2350 missing values generated)

. label var ave_institutionpunishment "Average punishment in each institutio
> n"

. 
. by group period, sort : egen float ave_groupprofit = mean(profit)

. label var ave_groupprofit "Average group profit"

. 
. by institution period, sort : egen float ave_institutionprofit = mean(prof
> it)

. label var ave_institutionprofit "Average profit in each institution"

. 
. by institution4 period, sort : egen float ave_institution4profit = mean(pr
> ofit)

. label var ave_institution4profit "Average profit in each sub-Treatment"

. 
. by treatment period, sort : egen float ave_Treatmentprofit = mean(profit)

. label var ave_Treatmentprofit "Average profit in each Treatment"

. 
. by group period, sort : egen float ave_groupprofit_nopunished = mean(profi
> t) if punished!=1
(883 missing values generated)

. label var ave_groupprofit_nopunished "Average group profit excluding punis
> hed subjects"

. 
. by institution period, sort : egen float ave_institutionprofit_nopunished 
> = mean(profit) if punished!=1
(883 missing values generated)

. label var ave_institutionprofit_nopunished "Average profit in each institu
> tion excluding punished subjects"

. 
. by institution4 period, sort : egen float ave_institution4profit_nopunish 
> = mean(profit) if punished!=1
(883 missing values generated)

. label var ave_institution4profit_nopunish "Average profit in each sub-Trea
> tment excluding punished subjects"

. 
. by treatment period, sort : egen float ave_treatmentprofit_nopunished = me
> an(profit) if punished!=1
(883 missing values generated)

. label var ave_treatmentprofit_nopunished "Average profit in each Treatment
>  excluding punished subjects"

. 
. **************************************************************************
> *****
. * Figure 1: Average contribution dynamics
. **************************************************************************
> *****
. xtline ave_institution4contribution, overlay ///
> plot1opts(recast(connected) msymbol(o) lpattern(shortdash) lc(gs8) mc(gs8)
> )  ///
> plot2opts(recast(connected) msymbol(o) lpattern(solid) lc(black) mc(black)
> )  ///
> plot3opts(recast(connected) msymbol(s) lpattern(shortdash) lc(gs8) mc(gs8)
> )  ///
> plot4opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> )  /// 
> ytitle(Average Contribution (Points)) ttitle(period) legend(on) i(institut
> ion4) t(period) ///
> ylabel(0(2)20, nogrid) xlabel(0(1)22)  scheme(s1mono) xline(11 14 17 20, l
> pat(longdash)) ///
> legend(label(1 "Leviathan (VCM)") label(2 "Democracy (VCM)") label(3 "Levi
> athan (Punish.)") ///
> label(4 "Democracy (Punish.)"))

. 
. graph save Graph fig1m, replace
(note: file fig1m.gph not found)
(file fig1m.gph saved)

. graph export fig1m.eps, replace
(note: file fig1m.eps not found)
(file fig1m.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Table 3: Average Perfomance Comparison
. *    Note: The differences that stata windows results shows are VCM - Puni
> shment. 
. *          In table 3 we report Punishment - VCM results. 
. **************************************************************************
> ******
. *Panel A:
. preserve

. collapse(mean) treatment contribution, by(group phase)

. xtset group phase
       panel variable:  group (strongly balanced)
        time variable:  phase, 1 to 2
                delta:  1 unit

. * contribution pre vs. post in Leviathan
. ttest contribution if treatment == 1, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      23    6.270435    .4810461    2.307016    5.272806    7.2680
> 63
       2 |      23    8.869565    .7370792    3.534908    7.340956    10.398
> 17
---------+------------------------------------------------------------------
> --
combined |      46        7.57    .4763396    3.230692    6.610603    8.5293
> 97
---------+------------------------------------------------------------------
> --
    diff |            -2.59913    .8801654               -4.372987   -.82527
> 36
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -2.95
> 30
Ho: diff = 0                                     degrees of freedom =       
> 44

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0025         Pr(|T| > |t|) = 0.0050          Pr(T > t) = 0.99
> 75

. ranksumex contribution if treatment == 1, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       23         414       540.5
           2 |       23         667       540.5
-------------+---------------------------------
    combined |       46        1081        1081

unadjusted variance     2071.92
adjustment for ties        0.00
                     ----------
adjusted variance       2071.92

Ho: contri~n(phase==1) = contri~n(phase==2)
             z =  -2.779
    Prob > |z| =   0.0055

. * contribution pre vs. post in Democracy
. ttest contribution if treatment == 2, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      24        6.05    .6292922     3.08289     4.74821     7.351
> 79
       2 |      24    7.981944    .7941842    3.890692    6.339049     9.624
> 84
---------+------------------------------------------------------------------
> --
combined |      48    7.015972    .5206498    3.607167     5.96856    8.0633
> 84
---------+------------------------------------------------------------------
> --
    diff |           -1.931944     1.01328               -3.971572    .10768
> 34
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -1.90
> 66
Ho: diff = 0                                     degrees of freedom =       
> 46

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.0314         Pr(|T| > |t|) = 0.0628          Pr(T > t) = 0.96
> 86

. ranksumex contribution if treatment == 2, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       24         491         588
           2 |       24         685         588
-------------+---------------------------------
    combined |       48        1176        1176

unadjusted variance     2352.00
adjustment for ties       -0.51
                     ----------
adjusted variance       2351.49

Ho: contri~n(phase==1) = contri~n(phase==2)
             z =  -2.000
    Prob > |z| =   0.0455

. * Diff-in-Diff in contribution
. gen dcont=contribution-L.contribution
(47 missing values generated)

. ttest dcont, by(treatment)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      23     2.59913    .4951193    2.374509    1.572316    3.6259
> 45
       2 |      24    1.931944    .5732845    2.808509     .746015    3.1178
> 74
---------+------------------------------------------------------------------
> --
combined |      47     2.25844    .3790831    2.598863    1.495385    3.0214
> 94
---------+------------------------------------------------------------------
> --
    diff |             .667186    .7602393               -.8640146    2.1983
> 87
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =   0.87
> 76
Ho: diff = 0                                     degrees of freedom =       
> 45

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.8076         Pr(|T| > |t|) = 0.3848          Pr(T > t) = 0.19
> 24

. ranksumex dcont, by (treatment)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       23         592         552
           2 |       24         536         576
-------------+---------------------------------
    combined |       47        1128        1128

unadjusted variance     2208.00
adjustment for ties        0.00
                     ----------
adjusted variance       2208.00

Ho: dcont(treatm~t==1) = dcont(treatm~t==2)
             z =   0.851
    Prob > |z| =   0.3946

. restore

. 
. ** Panel B:
. * Punishment Leviathan vs. Democracy
. preserve

. collapse(mean) treatment punishment, by(group phase)

. ttest punishment if phase == 2, by(treatment) 

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      23    .9137681     .094372    .4525922    .7180526    1.1094
> 84
       2 |      24    .8868056    .0825505    .4044134    .7160367    1.0575
> 74
---------+------------------------------------------------------------------
> --
combined |      47          .9    .0618728    .4241787    .7754565    1.0245
> 44
---------+------------------------------------------------------------------
> --
    diff |            .0269626    .1250768                -.224955    .27888
> 01
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =   0.21
> 56
Ho: diff = 0                                     degrees of freedom =       
> 45

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.5849         Pr(|T| > |t|) = 0.8303          Pr(T > t) = 0.41
> 51

. ranksumex punishment if phase == 2, by(treatment) 

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       23         562         552
           2 |       24         566         576
-------------+---------------------------------
    combined |       47        1128        1128

unadjusted variance     2208.00
adjustment for ties       -1.66
                     ----------
adjusted variance       2206.34

Ho: punish~t(treatm~t==1) = punish~t(treatm~t==2)
             z =   0.213
    Prob > |z| =   0.8314

. restore

. 
. ** Panel C
. preserve

. collapse(mean) treatment profit, by(group phase)

. * Profit pre vs. post in Leviathan
. ttest profit if treatment == 1, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      23    26.56313    .4983479    2.389992    25.52962    27.596
> 64
       2 |      23    26.85826    .6836343    3.278595    25.44049    28.276
> 03
---------+------------------------------------------------------------------
> --
combined |      46     26.7107    .4188489    2.840771    25.86709     27.55
> 43
---------+------------------------------------------------------------------
> --
    diff |           -.2951304    .8459944                -2.00012    1.4098
> 59
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =  -0.34
> 89
Ho: diff = 0                                     degrees of freedom =       
> 44

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.3644         Pr(|T| > |t|) = 0.7289          Pr(T > t) = 0.63
> 56

. ranksumex profit if treatment == 1, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       23         522       540.5
           2 |       23         559       540.5
-------------+---------------------------------
    combined |       46        1081        1081

unadjusted variance     2071.92
adjustment for ties        0.00
                     ----------
adjusted variance       2071.92

Ho: profit(phase==1) = profit(phase==2)
             z =  -0.406
    Prob > |z| =   0.6844

. * Profit pre vs. post in Democracy
. ttest profit if treatment == 2, by (phase)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      24      26.188    .6113738    2.995108    24.92328    27.452
> 72
       2 |      24    25.71333    .8455622    4.142392    23.96415    27.462
> 51
---------+------------------------------------------------------------------
> --
combined |      48    25.95067    .5172964    3.583934       24.91    26.991
> 33
---------+------------------------------------------------------------------
> --
    diff |            .4746667    1.043433               -1.625656    2.5749
> 89
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =   0.45
> 49
Ho: diff = 0                                     degrees of freedom =       
> 46

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.6743         Pr(|T| > |t|) = 0.6513          Pr(T > t) = 0.32
> 57

. ranksumex profit if treatment == 2, by (phase)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

       phase |      obs    rank sum    expected
-------------+---------------------------------
           1 |       24         635         588
           2 |       24         541         588
-------------+---------------------------------
    combined |       48        1176        1176

unadjusted variance     2352.00
adjustment for ties       -0.13
                     ----------
adjusted variance       2351.87

Ho: profit(phase==1) = profit(phase==2)
             z =   0.969
    Prob > |z| =   0.3325

. * Diff-in-Diff in Profit
. sort group

. xtset group phase
       panel variable:  group (strongly balanced)
        time variable:  phase, 1 to 2
                delta:  1 unit

. gen dprof=profit-L.profit
(47 missing values generated)

. ttest dprof, by(treatment)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       1 |      23    .2951305    .5572134    2.672301   -.8604593     1.450
> 72
       2 |      24   -.4746667    .5557172    2.722447   -1.624255     .6749
> 22
---------+------------------------------------------------------------------
> --
combined |      47   -.0979574    .3933628     2.69676   -.8897557    .69384
> 09
---------+------------------------------------------------------------------
> --
    diff |            .7697971    .7872797               -.8158656     2.355
> 46
----------------------------------------------------------------------------
> --
    diff = mean(1) - mean(2)                                      t =   0.97
> 78
Ho: diff = 0                                     degrees of freedom =       
> 45

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.8333         Pr(|T| > |t|) = 0.3334          Pr(T > t) = 0.16
> 67

. ranksumex dprof, by (treatment)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

   treatment |      obs    rank sum    expected
-------------+---------------------------------
           1 |       23         594         552
           2 |       24         534         576
-------------+---------------------------------
    combined |       47        1128        1128

unadjusted variance     2208.00
adjustment for ties        0.00
                     ----------
adjusted variance       2208.00

Ho: dprof(treatm~t==1) = dprof(treatm~t==2)
             z =   0.894
    Prob > |z| =   0.3714

. restore

. 
. **************************************************************************
> ******
. * Figure 2: Punishment Behavior
. **************************************************************************
> ******
. * Figure 2.1: Punishment Assigned
. xtline ave_institutionpunishment if period >10, ///
> overlay plot1opts(recast(connected) msymbol(o) lpattern(dash) lc(gs8) mc(g
> s8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(Average Punishment (Points)) ttitle(period) legend(on) i(institutio
> n) t(period) ///
> ylabel(0(1)3, nogrid)xlabel(10(1)22, nogrid) scheme(s1mono) xline(11 14 17
>  20, lpat(longdash)) ///
> legend(label(1 "Leviathan") label(2 "Democracy"))

. 
. graph save Graph fig2.1m, replace
(note: file fig2.1m not found)
(file fig2.1m saved)

. graph export fig21m.eps, replace
(note: file fig21m.eps not found)
(file fig21m.eps written in EPS format)

. 
. by treatment period group, sort: egen float punish_fr = mean(punished)

. by treatment period group, sort: gen float manager_pun = (punish_fr>0 & pu
> nish_fr!=.)

. by treatment period, sort: egen float manager_pun_fr = mean(manager_pun)

. gen manager_pun_freq=100*manager_pun_fr

. 
. * Figure 2.2: Manager's use of Punishment
. xtline manager_pun_freq if period >10, overlay plot1opts(recast(connected)
>  ///
> msymbol(o) lpattern(dash) lc(gs8) mc(gs8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle(% of managers that use punishment) ttitle(period) legend(on) i(inst
> itution) ///
> t(period) ylabel (0(20)100, nogrid) xlabel (10(1)22, nogrid) scheme(s1mono
> ) xline(11 14 17 20, lpat(longdash)) ///
> legend(label(1 "Leviathan") label(2 "Democracy"))

. 
. graph save Graph fig2.2m, replace
(note: file fig2.2m not found)
(file fig2.2m saved)

. graph export fig22m.eps, replace
(note: file fig22m.eps not found)
(file fig22m.eps written in EPS format)

. 
. * Figure 2.3: Subjects Punished
. by treatment period group, sort: egen float sub_punished = sum(punished)

. by treatment period, sort: egen float punished_sub_fr = mean(sub_punished)

. xtline punished_sub_fr if period >10, overlay plot1opts(recast(connected) 
> ///
> msymbol(o) lpattern(dash) lc(gs8) mc(gs8)) ///
> plot2opts(recast(connected) msymbol(s) lpattern(solid) lc(black) mc(black)
> ) ///
> ytitle("Average Number of Punished Subjects by Group") ttitle(period) lege
> nd(on) i(institution) ///
> t(period) ylabel (0(0.5)3, nogrid) xlabel (10(1)22, nogrid) scheme(s1mono)
>  xline(11 14 17 20, lpat(longdash)) ///
> legend(label(1 "Leviathan") label(2 "Democracy"))

. 
. graph save Graph fig2.3m, replace
(note: file fig2.3m not found)
(file fig2.3m saved)

. graph export fig31m.eps, replace
(note: file fig31m.eps not found)
(file fig31m.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Table 4: Determinants of Contributions
. **************************************************************************
> ******
. * Preparation for regression analysis 
. * Demographic controls
. global control1 woman economist height age // no missing

. global control2  income bret public_school insurance other_city risk_avers
> ion ///
>                                  // some missing

. * lag *
. bys subject (period): gen contribution_l = contribution[_n - 1]
(235 missing values generated)

. label var contribution_l "contribution (t-1)"

. 
. bys subject (period): gen ave_Othercontribution_l = ave_Othercontribution[
> _n - 1]
(235 missing values generated)

. label var ave_Othercontribution_l "Other members' Av.contribution(t-1)"

. 
. bys subject (period): gen punishment_l = punishment[_n - 1]
(2585 missing values generated)

. replace punishment_l=0 if missing(punishment_l)
(2585 real changes made)

. label var punishment_l "Punishment in the group (t-1)"

. 
. bys subject (period): gen punished_l = punished[_n - 1] //real_punishment
(235 missing values generated)

. replace punished_l=0 if missing(punished_l)
(235 real changes made)

. label var punished_l "Punishment received (t-1)"

. 
. qui tab subject, gen(IDcode)

. 
. local i=1

. while (`i'<= 235){
  2. qui gen IDperiod`i' = IDcode`i'*period // cambiperiodinphase por period
> . Eso para todos los casos
  3. label variable IDperiod`i' "subject-Specific Time Trend for IDcode`i'"
  4. local i = `i' + 1
  5. }

. 
. qui tab group, gen(groupcode)

. 
. local i=1

. while (`i'<= 47){
  2. qui gen groupperiod`i' = groupcode`i'*period // periodinphase
  3. label variable groupperiod`i' "group-Specific Time Trend for groupcode`
> i'"
  4. local i = `i' + 1
  5. }

. **************************************************************************
> ******
. *periodinphase
. **************************************************************************
> ******
. gen period1=period if phase==1
(2820 missing values generated)

. replace period1=0 if missing(period1)
(2820 real changes made)

. gen period2=period if phase==2
(2350 missing values generated)

. replace period2=0 if missing(period2)
(2350 real changes made)

. 
. gen periodinphase=period1+period2

. label var periodinphase "Period within phase"

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 22
                delta:  1 unit

.                                         
. eststo FEgt: xi: reg contribution dddem puntreat demtreat  ///
>                                         i.subject groupcode* periodinphase
> , ///
>                                         vce(cluster group)
i.subject         _Isubject_1-235     (naturally coded; _Isubject_1 omitted)
note: _Isubject_6 omitted because of collinearity
note: _Isubject_11 omitted because of collinearity
note: _Isubject_16 omitted because of collinearity
note: _Isubject_21 omitted because of collinearity
note: _Isubject_26 omitted because of collinearity
note: _Isubject_31 omitted because of collinearity
note: _Isubject_36 omitted because of collinearity
note: _Isubject_41 omitted because of collinearity
note: _Isubject_46 omitted because of collinearity
note: _Isubject_51 omitted because of collinearity
note: _Isubject_56 omitted because of collinearity
note: _Isubject_61 omitted because of collinearity
note: _Isubject_66 omitted because of collinearity
note: _Isubject_71 omitted because of collinearity
note: _Isubject_76 omitted because of collinearity
note: _Isubject_81 omitted because of collinearity
note: _Isubject_86 omitted because of collinearity
note: _Isubject_91 omitted because of collinearity
note: _Isubject_96 omitted because of collinearity
note: _Isubject_101 omitted because of collinearity
note: _Isubject_106 omitted because of collinearity
note: _Isubject_111 omitted because of collinearity
note: _Isubject_116 omitted because of collinearity
note: _Isubject_121 omitted because of collinearity
note: _Isubject_126 omitted because of collinearity
note: _Isubject_131 omitted because of collinearity
note: _Isubject_136 omitted because of collinearity
note: _Isubject_141 omitted because of collinearity
note: _Isubject_146 omitted because of collinearity
note: _Isubject_151 omitted because of collinearity
note: _Isubject_156 omitted because of collinearity
note: _Isubject_161 omitted because of collinearity
note: _Isubject_166 omitted because of collinearity
note: _Isubject_171 omitted because of collinearity
note: _Isubject_176 omitted because of collinearity
note: _Isubject_181 omitted because of collinearity
note: _Isubject_186 omitted because of collinearity
note: _Isubject_191 omitted because of collinearity
note: _Isubject_196 omitted because of collinearity
note: _Isubject_201 omitted because of collinearity
note: _Isubject_206 omitted because of collinearity
note: _Isubject_211 omitted because of collinearity
note: _Isubject_216 omitted because of collinearity
note: _Isubject_221 omitted because of collinearity
note: _Isubject_226 omitted because of collinearity
note: _Isubject_235 omitted because of collinearity
note: groupcode44 omitted because of collinearity
note: groupcode47 omitted because of collinearity

Linear regression                                      Number of obs =    51
> 70
                                                       F(  2,    46) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.43
> 69
                                                       Root MSE      =  4.60
> 95

                                 (Std. Err. adjusted for 47 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |   -.667186   .7670509    -0.87   0.389    -2.211179    .87680
> 75
    puntreat |   3.985638   .6439207     6.19   0.000     2.689493    5.2817
> 83
    demtreat |  -13.54517   .4183914   -32.37   0.000    -14.38735   -12.702
> 99
 _Isubject_2 |  -.9090909   5.59e-12 -1.6e+11   0.000    -.9090909   -.90909
> 09
 _Isubject_3 |   1.590909   5.63e-12  2.8e+11   0.000     1.590909    1.5909
> 09
 _Isubject_4 |   3.590909   5.66e-12  6.3e+11   0.000     3.590909    3.5909
> 09
 _Isubject_5 |   1.136364   5.63e-12  2.0e+11   0.000     1.136364    1.1363
> 64
 _Isubject_6 |          0  (omitted)
 _Isubject_7 |  -5.681818   1.28e-12 -4.4e+12   0.000    -5.681818   -5.6818
> 18
 _Isubject_8 |        -11   1.59e-12 -6.9e+12   0.000          -11         -
> 11
 _Isubject_9 |  -7.090909   1.43e-12 -4.9e+12   0.000    -7.090909   -7.0909
> 09
_Isubject_10 |  -4.318182   1.17e-12 -3.7e+12   0.000    -4.318182   -4.3181
> 82
_Isubject_11 |          0  (omitted)
_Isubject_12 |   3.41e-12   3.54e-12     0.96   0.341    -3.72e-12    1.05e-
> 11
_Isubject_13 |   .5454545   3.56e-12  1.5e+11   0.000     .5454545    .54545
> 45
_Isubject_14 |   .8636364   3.54e-12  2.4e+11   0.000     .8636364    .86363
> 64
_Isubject_15 |  -2.318182   3.50e-12 -6.6e+11   0.000    -2.318182   -2.3181
> 82
_Isubject_16 |          0  (omitted)
_Isubject_17 |   2.181818   1.66e-11  1.3e+11   0.000     2.181818    2.1818
> 18
_Isubject_18 |   1.636364   1.67e-11  9.8e+10   0.000     1.636364    1.6363
> 64
_Isubject_19 |  -1.772727   1.65e-11 -1.1e+11   0.000    -1.772727   -1.7727
> 27
_Isubject_20 |   6.681818   1.61e-11  4.1e+11   0.000     6.681818    6.6818
> 18
_Isubject_21 |          0  (omitted)
_Isubject_22 |  -2.090909   5.69e-13 -3.7e+12   0.000    -2.090909   -2.0909
> 09
_Isubject_23 |  -3.181818   6.30e-13 -5.0e+12   0.000    -3.181818   -3.1818
> 18
_Isubject_24 |  -3.954545   6.03e-13 -6.6e+12   0.000    -3.954545   -3.9545
> 45
_Isubject_25 |  -4.636364   5.85e-13 -7.9e+12   0.000    -4.636364   -4.6363
> 64
_Isubject_26 |          0  (omitted)
_Isubject_27 |  -5.636364   7.06e-12 -8.0e+11   0.000    -5.636364   -5.6363
> 64
_Isubject_28 |  -5.772727   7.05e-12 -8.2e+11   0.000    -5.772727   -5.7727
> 27
_Isubject_29 |  -3.772727   7.06e-12 -5.3e+11   0.000    -3.772727   -3.7727
> 27
_Isubject_30 |         -6   7.02e-12 -8.5e+11   0.000           -6          
> -6
_Isubject_31 |          0  (omitted)
_Isubject_32 |   .0909091   8.16e-13  1.1e+11   0.000     .0909091    .09090
> 91
_Isubject_33 |  -1.454545   9.83e-13 -1.5e+12   0.000    -1.454545   -1.4545
> 45
_Isubject_34 |  -.5454545   8.29e-13 -6.6e+11   0.000    -.5454545   -.54545
> 45
_Isubject_35 |  -.5909091   8.28e-13 -7.1e+11   0.000    -.5909091   -.59090
> 91
_Isubject_36 |          0  (omitted)
_Isubject_37 |   .5909091   1.16e-11  5.1e+10   0.000     .5909091    .59090
> 91
_Isubject_38 |   1.13e-11   1.17e-11     0.97   0.339    -1.22e-11    3.49e-
> 11
_Isubject_39 |  -2.454545   1.17e-11 -2.1e+11   0.000    -2.454545   -2.4545
> 45
_Isubject_40 |  -.7727273   1.17e-11 -6.6e+10   0.000    -.7727273   -.77272
> 73
_Isubject_41 |          0  (omitted)
_Isubject_42 |  -2.681818   2.53e-12 -1.1e+12   0.000    -2.681818   -2.6818
> 18
_Isubject_43 |   3.181818   2.45e-12  1.3e+12   0.000     3.181818    3.1818
> 18
_Isubject_44 |  -1.090909   2.58e-12 -4.2e+11   0.000    -1.090909   -1.0909
> 09
_Isubject_45 |  -1.727273   2.54e-12 -6.8e+11   0.000    -1.727273   -1.7272
> 73
_Isubject_46 |          0  (omitted)
_Isubject_47 |  -3.954545   6.19e-12 -6.4e+11   0.000    -3.954545   -3.9545
> 45
_Isubject_48 |  -5.954545   6.19e-12 -9.6e+11   0.000    -5.954545   -5.9545
> 45
_Isubject_49 |  -6.636364   6.13e-12 -1.1e+12   0.000    -6.636364   -6.6363
> 64
_Isubject_50 |       -7.5   6.15e-12 -1.2e+12   0.000         -7.5        -7
> .5
_Isubject_51 |          0  (omitted)
_Isubject_52 |        2.5   2.16e-12  1.2e+12   0.000          2.5         2
> .5
_Isubject_53 |   2.863636   2.12e-12  1.3e+12   0.000     2.863636    2.8636
> 36
_Isubject_54 |  -.3636364   2.42e-12 -1.5e+11   0.000    -.3636364   -.36363
> 64
_Isubject_55 |  -2.090909   2.38e-12 -8.8e+11   0.000    -2.090909   -2.0909
> 09
_Isubject_56 |          0  (omitted)
_Isubject_57 |   2.363636   1.22e-11  1.9e+11   0.000     2.363636    2.3636
> 36
_Isubject_58 |   1.090909   1.23e-11  8.9e+10   0.000     1.090909    1.0909
> 09
_Isubject_59 |   1.045455   1.23e-11  8.5e+10   0.000     1.045455    1.0454
> 55
_Isubject_60 |  -.4090909   1.22e-11 -3.4e+10   0.000    -.4090909   -.40909
> 09
_Isubject_61 |          0  (omitted)
_Isubject_62 |   1.227273   3.19e-13  3.8e+12   0.000     1.227273    1.2272
> 73
_Isubject_63 |   2.045455   3.32e-13  6.2e+12   0.000     2.045455    2.0454
> 55
_Isubject_64 |  -.1363636   2.76e-13 -4.9e+11   0.000    -.1363636   -.13636
> 36
_Isubject_65 |  -1.045455   2.75e-13 -3.8e+12   0.000    -1.045455   -1.0454
> 55
_Isubject_66 |          0  (omitted)
_Isubject_67 |   2.136364   5.98e-12  3.6e+11   0.000     2.136364    2.1363
> 64
_Isubject_68 |   2.090909   5.97e-12  3.5e+11   0.000     2.090909    2.0909
> 09
_Isubject_69 |   .9545455   5.98e-12  1.6e+11   0.000     .9545455    .95454
> 55
_Isubject_70 |   2.045455   5.94e-12  3.4e+11   0.000     2.045455    2.0454
> 55
_Isubject_71 |          0  (omitted)
_Isubject_72 |   2.409091   7.21e-12  3.3e+11   0.000     2.409091    2.4090
> 91
_Isubject_73 |  -6.545455   7.46e-12 -8.8e+11   0.000    -6.545455   -6.5454
> 55
_Isubject_74 |   .1818182   7.25e-12  2.5e+10   0.000     .1818182    .18181
> 82
_Isubject_75 |   3.227273   7.54e-12  4.3e+11   0.000     3.227273    3.2272
> 73
_Isubject_76 |          0  (omitted)
_Isubject_77 |         .5   4.88e-12  1.0e+11   0.000           .5          
> .5
_Isubject_78 |   3.090909   4.95e-12  6.2e+11   0.000     3.090909    3.0909
> 09
_Isubject_79 |   4.454545   4.93e-12  9.0e+11   0.000     4.454545    4.4545
> 45
_Isubject_80 |   1.954545   4.90e-12  4.0e+11   0.000     1.954545    1.9545
> 45
_Isubject_81 |          0  (omitted)
_Isubject_82 |   8.090909   2.98e-12  2.7e+12   0.000     8.090909    8.0909
> 09
_Isubject_83 |          1   2.12e-12  4.7e+11   0.000            1          
>  1
_Isubject_84 |  -.3181818   2.16e-12 -1.5e+11   0.000    -.3181818   -.31818
> 18
_Isubject_85 |   5.590909   2.38e-12  2.4e+12   0.000     5.590909    5.5909
> 09
_Isubject_86 |          0  (omitted)
_Isubject_87 |   .9090909   1.05e-11  8.7e+10   0.000     .9090909    .90909
> 09
_Isubject_88 |   .5909091   1.04e-11  5.7e+10   0.000     .5909091    .59090
> 91
_Isubject_89 |   1.818182   1.04e-11  1.8e+11   0.000     1.818182    1.8181
> 82
_Isubject_90 |        1.5   1.04e-11  1.4e+11   0.000          1.5         1
> .5
_Isubject_91 |          0  (omitted)
_Isubject_92 |  -4.454545   3.92e-12 -1.1e+12   0.000    -4.454545   -4.4545
> 45
_Isubject_93 |  -3.727273   3.89e-12 -9.6e+11   0.000    -3.727273   -3.7272
> 73
_Isubject_94 |  -3.318182   3.87e-12 -8.6e+11   0.000    -3.318182   -3.3181
> 82
_Isubject_95 |  -2.727273   3.84e-12 -7.1e+11   0.000    -2.727273   -2.7272
> 73
_Isubject_96 |          0  (omitted)
_Isubject_97 |  -3.227273   8.27e-12 -3.9e+11   0.000    -3.227273   -3.2272
> 73
_Isubject_98 |  -.2272727   8.27e-12 -2.7e+10   0.000    -.2272727   -.22727
> 27
_Isubject_99 |         -2   8.20e-12 -2.4e+11   0.000           -2          
> -2
_Isubjec~100 |   1.636364   8.25e-12  2.0e+11   0.000     1.636364    1.6363
> 64
_Isubjec~101 |          0  (omitted)
_Isubjec~102 |  -4.318182   2.74e-12 -1.6e+12   0.000    -4.318182   -4.3181
> 82
_Isubjec~103 |  -2.590909   2.78e-12 -9.3e+11   0.000    -2.590909   -2.5909
> 09
_Isubjec~104 |  -7.954545   2.86e-12 -2.8e+12   0.000    -7.954545   -7.9545
> 45
_Isubjec~105 |   2.090909   2.25e-12  9.3e+11   0.000     2.090909    2.0909
> 09
_Isubjec~106 |          0  (omitted)
_Isubjec~107 |  -2.954545   3.10e-12 -9.5e+11   0.000    -2.954545   -2.9545
> 45
_Isubjec~108 |  -9.363636   3.15e-12 -3.0e+12   0.000    -9.363636   -9.3636
> 36
_Isubjec~109 |  -2.363636   3.07e-12 -7.7e+11   0.000    -2.363636   -2.3636
> 36
_Isubjec~110 |  -10.22727   3.13e-12 -3.3e+12   0.000    -10.22727   -10.227
> 27
_Isubjec~111 |          0  (omitted)
_Isubjec~112 |   5.818182   6.50e-12  9.0e+11   0.000     5.818182    5.8181
> 82
_Isubjec~113 |   3.909091   6.46e-12  6.1e+11   0.000     3.909091    3.9090
> 91
_Isubjec~114 |   5.227273   6.50e-12  8.0e+11   0.000     5.227273    5.2272
> 73
_Isubjec~115 |   13.31818   6.42e-12  2.1e+12   0.000     13.31818    13.318
> 18
_Isubjec~116 |          0  (omitted)
_Isubjec~117 |   .2727273   7.73e-12  3.5e+10   0.000     .2727273    .27272
> 73
_Isubjec~118 |  -.2727273   7.71e-12 -3.5e+10   0.000    -.2727273   -.27272
> 73
_Isubjec~119 |  -.4090909   7.69e-12 -5.3e+10   0.000    -.4090909   -.40909
> 09
_Isubjec~120 |  -2.727273   7.98e-12 -3.4e+11   0.000    -2.727273   -2.7272
> 73
_Isubjec~121 |          0  (omitted)
_Isubjec~122 |   4.363636   1.42e-12  3.1e+12   0.000     4.363636    4.3636
> 36
_Isubjec~123 |  -1.863636   1.61e-12 -1.2e+12   0.000    -1.863636   -1.8636
> 36
_Isubjec~124 |   .3181818   1.62e-12  2.0e+11   0.000     .3181818    .31818
> 18
_Isubjec~125 |   1.318182   1.53e-12  8.6e+11   0.000     1.318182    1.3181
> 82
_Isubjec~126 |          0  (omitted)
_Isubjec~127 |  -1.954545   5.80e-12 -3.4e+11   0.000    -1.954545   -1.9545
> 45
_Isubjec~128 |  -1.363636   5.85e-12 -2.3e+11   0.000    -1.363636   -1.3636
> 36
_Isubjec~129 |   .2272727   5.72e-12  4.0e+10   0.000     .2272727    .22727
> 27
_Isubjec~130 |  -2.272727   5.75e-12 -4.0e+11   0.000    -2.272727   -2.2727
> 27
_Isubjec~131 |          0  (omitted)
_Isubjec~132 |  -3.409091   5.81e-13 -5.9e+12   0.000    -3.409091   -3.4090
> 91
_Isubjec~133 |  -.2727273   5.78e-13 -4.7e+11   0.000    -.2727273   -.27272
> 73
_Isubjec~134 |  -1.136364   5.88e-13 -1.9e+12   0.000    -1.136364   -1.1363
> 64
_Isubjec~135 |  -.1818182   5.62e-13 -3.2e+11   0.000    -.1818182   -.18181
> 82
_Isubjec~136 |          0  (omitted)
_Isubjec~137 |  -6.318182   3.82e-12 -1.7e+12   0.000    -6.318182   -6.3181
> 82
_Isubjec~138 |         -4   3.81e-12 -1.0e+12   0.000           -4          
> -4
_Isubjec~139 |  -3.090909   3.78e-12 -8.2e+11   0.000    -3.090909   -3.0909
> 09
_Isubjec~140 |  -.9545455   3.67e-12 -2.6e+11   0.000    -.9545455   -.95454
> 55
_Isubjec~141 |          0  (omitted)
_Isubjec~142 |  -1.863636   1.04e-12 -1.8e+12   0.000    -1.863636   -1.8636
> 36
_Isubjec~143 |  -.6363636   1.01e-12 -6.3e+11   0.000    -.6363636   -.63636
> 36
_Isubjec~144 |   .1818182   1.04e-12  1.7e+11   0.000     .1818182    .18181
> 82
_Isubjec~145 |   1.409091   9.58e-13  1.5e+12   0.000     1.409091    1.4090
> 91
_Isubjec~146 |          0  (omitted)
_Isubjec~147 |  -1.681818   6.37e-12 -2.6e+11   0.000    -1.681818   -1.6818
> 18
_Isubjec~148 |  -.7272727   6.16e-12 -1.2e+11   0.000    -.7272727   -.72727
> 27
_Isubjec~149 |   .9090909   6.11e-12  1.5e+11   0.000     .9090909    .90909
> 09
_Isubjec~150 |   3.090909   6.09e-12  5.1e+11   0.000     3.090909    3.0909
> 09
_Isubjec~151 |          0  (omitted)
_Isubjec~152 |  -.2727273   7.37e-13 -3.7e+11   0.000    -.2727273   -.27272
> 73
_Isubjec~153 |   1.545455   6.58e-13  2.3e+12   0.000     1.545455    1.5454
> 55
_Isubjec~154 |   .1363636   7.13e-13  1.9e+11   0.000     .1363636    .13636
> 36
_Isubjec~155 |  -.4090909   7.22e-13 -5.7e+11   0.000    -.4090909   -.40909
> 09
_Isubjec~156 |          0  (omitted)
_Isubjec~157 |  -3.545455   2.39e-12 -1.5e+12   0.000    -3.545455   -3.5454
> 55
_Isubjec~158 |  -2.772727   2.38e-12 -1.2e+12   0.000    -2.772727   -2.7727
> 27
_Isubjec~159 |  -4.363636   2.44e-12 -1.8e+12   0.000    -4.363636   -4.3636
> 36
_Isubjec~160 |  -2.863636   2.35e-12 -1.2e+12   0.000    -2.863636   -2.8636
> 36
_Isubjec~161 |          0  (omitted)
_Isubjec~162 |   1.181818   5.62e-13  2.1e+12   0.000     1.181818    1.1818
> 18
_Isubjec~163 |  -.9090909   5.37e-13 -1.7e+12   0.000    -.9090909   -.90909
> 09
_Isubjec~164 |  -1.409091   5.33e-13 -2.6e+12   0.000    -1.409091   -1.4090
> 91
_Isubjec~165 |  -1.318182   5.24e-13 -2.5e+12   0.000    -1.318182   -1.3181
> 82
_Isubjec~166 |          0  (omitted)
_Isubjec~167 |  -4.636364   8.75e-13 -5.3e+12   0.000    -4.636364   -4.6363
> 64
_Isubjec~168 |  -.1363636   8.93e-13 -1.5e+11   0.000    -.1363636   -.13636
> 36
_Isubjec~169 |  -4.590909   8.81e-13 -5.2e+12   0.000    -4.590909   -4.5909
> 09
_Isubjec~170 |  -3.590909   8.55e-13 -4.2e+12   0.000    -3.590909   -3.5909
> 09
_Isubjec~171 |          0  (omitted)
_Isubjec~172 |  -5.636364   5.97e-13 -9.4e+12   0.000    -5.636364   -5.6363
> 64
_Isubjec~173 |  -7.045455   6.43e-13 -1.1e+13   0.000    -7.045455   -7.0454
> 55
_Isubjec~174 |  -3.636364   5.24e-13 -6.9e+12   0.000    -3.636364   -3.6363
> 64
_Isubjec~175 |  -4.409091   5.64e-13 -7.8e+12   0.000    -4.409091   -4.4090
> 91
_Isubjec~176 |          0  (omitted)
_Isubjec~177 |  -.6818182   3.87e-13 -1.8e+12   0.000    -.6818182   -.68181
> 82
_Isubjec~178 |   5.772727   4.22e-13  1.4e+13   0.000     5.772727    5.7727
> 27
_Isubjec~179 |   1.681818   3.26e-13  5.2e+12   0.000     1.681818    1.6818
> 18
_Isubjec~180 |   3.863636   4.39e-13  8.8e+12   0.000     3.863636    3.8636
> 36
_Isubjec~181 |          0  (omitted)
_Isubjec~182 |  -.8636364   2.88e-12 -3.0e+11   0.000    -.8636364   -.86363
> 64
_Isubjec~183 |  -.7272727   2.86e-12 -2.5e+11   0.000    -.7272727   -.72727
> 27
_Isubjec~184 |   .6818182   2.79e-12  2.4e+11   0.000     .6818182    .68181
> 82
_Isubjec~185 |   2.681818   2.72e-12  9.8e+11   0.000     2.681818    2.6818
> 18
_Isubjec~186 |          0  (omitted)
_Isubjec~187 |   1.272727   4.69e-13  2.7e+12   0.000     1.272727    1.2727
> 27
_Isubjec~188 |   .0454545   4.40e-13  1.0e+11   0.000     .0454545    .04545
> 45
_Isubjec~189 |   5.136364   3.56e-13  1.4e+13   0.000     5.136364    5.1363
> 64
_Isubjec~190 |  -2.681818   4.11e-13 -6.5e+12   0.000    -2.681818   -2.6818
> 18
_Isubjec~191 |          0  (omitted)
_Isubjec~192 |   .2727273   3.20e-12  8.5e+10   0.000     .2727273    .27272
> 73
_Isubjec~193 |   1.863636   3.17e-12  5.9e+11   0.000     1.863636    1.8636
> 36
_Isubjec~194 |        1.5   3.14e-12  4.8e+11   0.000          1.5         1
> .5
_Isubjec~195 |   .9545455   3.11e-12  3.1e+11   0.000     .9545455    .95454
> 55
_Isubjec~196 |          0  (omitted)
_Isubjec~197 |   .4090909   6.92e-13  5.9e+11   0.000     .4090909    .40909
> 09
_Isubjec~198 |   5.909091   6.65e-13  8.9e+12   0.000     5.909091    5.9090
> 91
_Isubjec~199 |        7.5   6.42e-13  1.2e+13   0.000          7.5         7
> .5
_Isubjec~200 |  -2.454545   7.47e-13 -3.3e+12   0.000    -2.454545   -2.4545
> 45
_Isubjec~201 |          0  (omitted)
_Isubjec~202 |  -.6363636   3.71e-13 -1.7e+12   0.000    -.6363636   -.63636
> 36
_Isubjec~203 |  -3.545455   4.00e-13 -8.9e+12   0.000    -3.545455   -3.5454
> 55
_Isubjec~204 |  -1.090909   3.92e-13 -2.8e+12   0.000    -1.090909   -1.0909
> 09
_Isubjec~205 |  -.2272727   3.92e-13 -5.8e+11   0.000    -.2272727   -.22727
> 27
_Isubjec~206 |          0  (omitted)
_Isubjec~207 |   3.545455   2.21e-13  1.6e+13   0.000     3.545455    3.5454
> 55
_Isubjec~208 |  -4.045455   1.41e-13 -2.9e+13   0.000    -4.045455   -4.0454
> 55
_Isubjec~209 |  -3.272727   2.21e-13 -1.5e+13   0.000    -3.272727   -3.2727
> 27
_Isubjec~210 |          4   2.45e-13  1.6e+13   0.000            4          
>  4
_Isubjec~211 |          0  (omitted)
_Isubjec~212 |  -10.22727   1.26e-13 -8.1e+13   0.000    -10.22727   -10.227
> 27
_Isubjec~213 |  -3.409091   1.53e-13 -2.2e+13   0.000    -3.409091   -3.4090
> 91
_Isubjec~214 |  -5.590909   1.61e-13 -3.5e+13   0.000    -5.590909   -5.5909
> 09
_Isubjec~215 |  -8.272727   1.75e-13 -4.7e+13   0.000    -8.272727   -8.2727
> 27
_Isubjec~216 |          0  (omitted)
_Isubjec~217 |  -2.181818   5.13e-12 -4.3e+11   0.000    -2.181818   -2.1818
> 18
_Isubjec~218 |  -3.681818   5.17e-12 -7.1e+11   0.000    -3.681818   -3.6818
> 18
_Isubjec~219 |   1.681818   5.11e-12  3.3e+11   0.000     1.681818    1.6818
> 18
_Isubjec~220 |       -1.5   5.11e-12 -2.9e+11   0.000         -1.5        -1
> .5
_Isubjec~221 |          0  (omitted)
_Isubjec~222 |   3.590909   1.08e-13  3.3e+13   0.000     3.590909    3.5909
> 09
_Isubjec~223 |        -.5   1.12e-13 -4.5e+12   0.000          -.5         -
> .5
_Isubjec~224 |   1.954545   1.22e-13  1.6e+13   0.000     1.954545    1.9545
> 45
_Isubjec~225 |        -.5   1.39e-13 -3.6e+12   0.000          -.5         -
> .5
_Isubjec~226 |          0  (omitted)
_Isubjec~227 |   5.181818   8.53e-14  6.1e+13   0.000     5.181818    5.1818
> 18
_Isubjec~228 |   1.136364   1.25e-13  9.1e+12   0.000     1.136364    1.1363
> 64
_Isubjec~229 |  -.5454545   1.38e-13 -4.0e+12   0.000    -.5454545   -.54545
> 45
_Isubjec~230 |   3.545455   1.61e-13  2.2e+13   0.000     3.545455    3.5454
> 55
_Isubjec~231 |  -14.04545   9.66e-11 -1.5e+11   0.000    -14.04545   -14.045
> 45
_Isubjec~232 |  -11.81818   9.66e-11 -1.2e+11   0.000    -11.81818   -11.818
> 18
_Isubjec~233 |  -11.31818   9.66e-11 -1.2e+11   0.000    -11.31818   -11.318
> 18
_Isubjec~234 |  -11.13636   9.66e-11 -1.2e+11   0.000    -11.13636   -11.136
> 36
_Isubjec~235 |          0  (omitted)
  groupcode1 |  -.5909091   6.98e-12 -8.5e+10   0.000    -.5909091   -.59090
> 91
  groupcode2 |  -2.363636   9.66e-11 -2.4e+10   0.000    -2.363636   -2.3636
> 36
  groupcode3 |   2.10e-12   5.68e-12     0.37   0.713    -9.33e-12    1.35e-
> 11
  groupcode4 |  -13.09091   9.74e-11 -1.3e+11   0.000    -13.09091   -13.090
> 91
  groupcode5 |   4.954545   5.15e-12  9.6e+11   0.000     4.954545    4.9545
> 45
  groupcode6 |  -7.181818   9.67e-11 -7.4e+10   0.000    -7.181818   -7.1818
> 18
  groupcode7 |   4.863636   5.30e-12  9.2e+11   0.000     4.863636    4.8636
> 36
  groupcode8 |  -10.27273   9.70e-11 -1.1e+11   0.000    -10.27273   -10.272
> 73
  groupcode9 |   1.727273   5.45e-12  3.2e+11   0.000     1.727273    1.7272
> 73
 groupcode10 |  -7.954545   9.67e-11 -8.2e+10   0.000    -7.954545   -7.9545
> 45
 groupcode11 |   3.454545   5.61e-12  6.2e+11   0.000     3.454545    3.4545
> 45
 groupcode12 |  -11.63636   9.70e-11 -1.2e+11   0.000    -11.63636   -11.636
> 36
 groupcode13 |   4.954545   5.25e-12  9.4e+11   0.000     4.954545    4.9545
> 45
 groupcode14 |  -3.181818   7.20e-12 -4.4e+11   0.000    -3.181818   -3.1818
> 18
 groupcode15 |  -7.954545   9.67e-11 -8.2e+10   0.000    -7.954545   -7.9545
> 45
 groupcode16 |  -.8636364   6.55e-12 -1.3e+11   0.000    -.8636364   -.86363
> 64
 groupcode17 |   7.454545   5.42e-12  1.4e+12   0.000     7.454545    7.4545
> 45
 groupcode18 |  -12.36364   9.69e-11 -1.3e+11   0.000    -12.36364   -12.363
> 64
 groupcode19 |  -5.590909   9.66e-11 -5.8e+10   0.000    -5.590909   -5.5909
> 09
 groupcode20 |  -12.72727   9.68e-11 -1.3e+11   0.000    -12.72727   -12.727
> 27
 groupcode21 |   13.36364   5.58e-12  2.4e+12   0.000     13.36364    13.363
> 64
 groupcode22 |  -6.409091   9.66e-11 -6.6e+10   0.000    -6.409091   -6.4090
> 91
 groupcode23 |  -2.772727   7.02e-12 -3.9e+11   0.000    -2.772727   -2.7727
> 27
 groupcode24 |  -14.36364   9.67e-11 -1.5e+11   0.000    -14.36364   -14.363
> 64
 groupcode25 |   2.863636   5.24e-12  5.5e+11   0.000     2.863636    2.8636
> 36
 groupcode26 |  -10.04545   9.67e-11 -1.0e+11   0.000    -10.04545   -10.045
> 45
 groupcode27 |   1.363636   5.16e-12  2.6e+11   0.000     1.363636    1.3636
> 36
 groupcode28 |  -7.272727   9.66e-11 -7.5e+10   0.000    -7.272727   -7.2727
> 27
 groupcode29 |   2.409091   5.22e-12  4.6e+11   0.000     2.409091    2.4090
> 91
 groupcode30 |  -15.22727   9.67e-11 -1.6e+11   0.000    -15.22727   -15.227
> 27
 groupcode31 |   2.909091   5.08e-12  5.7e+11   0.000     2.909091    2.9090
> 91
 groupcode32 |  -6.272727   9.66e-11 -6.5e+10   0.000    -6.272727   -6.2727
> 27
 groupcode33 |   .1363636   5.15e-12  2.6e+10   0.000     .1363636    .13636
> 36
 groupcode34 |   4.272727   5.30e-12  8.1e+11   0.000     4.272727    4.2727
> 27
 groupcode35 |  -4.090909   9.66e-11 -4.2e+10   0.000    -4.090909   -4.0909
> 09
 groupcode36 |   5.909091   5.07e-12  1.2e+12   0.000     5.909091    5.9090
> 91
 groupcode37 |  -10.54545   9.66e-11 -1.1e+11   0.000    -10.54545   -10.545
> 45
 groupcode38 |   1.227273   5.12e-12  2.4e+11   0.000     1.227273    1.2272
> 73
 groupcode39 |  -16.77273   9.66e-11 -1.7e+11   0.000    -16.77273   -16.772
> 73
 groupcode40 |  -1.863636   5.14e-12 -3.6e+11   0.000    -1.863636   -1.8636
> 36
 groupcode41 |   3.136364   5.18e-12  6.1e+11   0.000     3.136364    3.1363
> 64
 groupcode42 |   .5454545   5.08e-12  1.1e+11   0.000     .5454545    .54545
> 45
 groupcode43 |  -6.545455   9.66e-11 -6.8e+10   0.000    -6.545455   -6.5454
> 55
 groupcode44 |          0  (omitted)
 groupcode45 |  -3.954545   9.66e-11 -4.1e+10   0.000    -3.954545   -3.9545
> 45
 groupcode46 |  -10.27273   9.66e-11 -1.1e+11   0.000    -10.27273   -10.272
> 73
 groupcode47 |          0  (omitted)
periodinph~e |  -.1260461   .0420267    -3.00   0.004    -.2106415   -.04145
> 08
       _cons |   17.63918   .3765891    46.84   0.000     16.88115    18.397
> 22
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. eststo FEgtc: xi: reg contribution dddem puntreat demtreat  ///
>                                         i.subject groupcode* periodinphase
>  ///periodinphase
>                                         ave_Othercontribution_l punishment
> _l punished_l, ///
>                                         vce(cluster group)
i.subject         _Isubject_1-235     (naturally coded; _Isubject_1 omitted)
note: _Isubject_8 omitted because of collinearity
note: _Isubject_15 omitted because of collinearity
note: _Isubject_19 omitted because of collinearity
note: _Isubject_21 omitted because of collinearity
note: _Isubject_30 omitted because of collinearity
note: _Isubject_31 omitted because of collinearity
note: _Isubject_37 omitted because of collinearity
note: _Isubject_42 omitted because of collinearity
note: _Isubject_48 omitted because of collinearity
note: _Isubject_53 omitted because of collinearity
note: _Isubject_56 omitted because of collinearity
note: _Isubject_61 omitted because of collinearity
note: _Isubject_68 omitted because of collinearity
note: _Isubject_73 omitted because of collinearity
note: _Isubject_76 omitted because of collinearity
note: _Isubject_84 omitted because of collinearity
note: _Isubject_86 omitted because of collinearity
note: _Isubject_91 omitted because of collinearity
note: _Isubject_96 omitted because of collinearity
note: _Isubject_104 omitted because of collinearity
note: _Isubject_110 omitted because of collinearity
note: _Isubject_111 omitted because of collinearity
note: _Isubject_119 omitted because of collinearity
note: _Isubject_122 omitted because of collinearity
note: _Isubject_126 omitted because of collinearity
note: _Isubject_135 omitted because of collinearity
note: _Isubject_137 omitted because of collinearity
note: _Isubject_143 omitted because of collinearity
note: _Isubject_146 omitted because of collinearity
note: _Isubject_153 omitted because of collinearity
note: _Isubject_156 omitted because of collinearity
note: _Isubject_161 omitted because of collinearity
note: _Isubject_166 omitted because of collinearity
note: _Isubject_171 omitted because of collinearity
note: _Isubject_176 omitted because of collinearity
note: _Isubject_182 omitted because of collinearity
note: _Isubject_190 omitted because of collinearity
note: _Isubject_191 omitted because of collinearity
note: _Isubject_199 omitted because of collinearity
note: _Isubject_202 omitted because of collinearity
note: _Isubject_209 omitted because of collinearity
note: _Isubject_211 omitted because of collinearity
note: _Isubject_218 omitted because of collinearity
note: _Isubject_223 omitted because of collinearity
note: _Isubject_227 omitted because of collinearity
note: _Isubject_231 omitted because of collinearity
note: groupcode21 omitted because of collinearity
note: groupcode45 omitted because of collinearity

Linear regression                                      Number of obs =    49
> 35
                                                       F(  5,    46) =      
>  .
                                                       Prob > F      =      
>  .
                                                       R-squared     =  0.47
> 36
                                                       Root MSE      =    4.
> 49

                                 (Std. Err. adjusted for 47 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
contribution |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
       dddem |   -.406862   .5223975    -0.78   0.440    -1.458394    .64466
> 96
    puntreat |   3.136003    .485479     6.46   0.000     2.158784    4.1132
> 22
    demtreat |  -4.171313   .3144225   -13.27   0.000    -4.804213   -3.5384
> 13
 _Isubject_2 |  -.7566447   .0048367  -156.44   0.000    -.7663804    -.7469
> 09
 _Isubject_3 |   1.593902   .0216713    73.55   0.000      1.55028    1.6375
> 24
 _Isubject_4 |   3.633188   .0414064    87.74   0.000     3.549842    3.7165
> 35
 _Isubject_5 |    1.10784   .0272014    40.73   0.000     1.053086    1.1625
> 93
 _Isubject_6 |   11.98759   .1488703    80.52   0.000     11.68793    12.287
> 25
 _Isubject_7 |   5.527565   .1005153    54.99   0.000     5.325238    5.7298
> 92
 _Isubject_8 |          0  (omitted)
 _Isubject_9 |   4.598063   .1071697    42.90   0.000     4.382342    4.8137
> 85
_Isubject_10 |   7.292137   .1168152    62.42   0.000     7.057001    7.5272
> 74
_Isubject_11 |   2.631502   .1120189    23.49   0.000      2.40602    2.8569
> 84
_Isubject_12 |   2.852419   .1141636    24.99   0.000      2.62262    3.0822
> 18
_Isubject_13 |   3.421424   .0958822    35.68   0.000     3.228423    3.6144
> 24
_Isubject_14 |   3.540071   .1312145    26.98   0.000      3.27595    3.8041
> 92
_Isubject_15 |          0  (omitted)
_Isubject_16 |   1.535325   .0357525    42.94   0.000     1.463359    1.6072
> 91
_Isubject_17 |   4.491642   .0555066    80.92   0.000     4.379912    4.6033
> 71
_Isubject_18 |   3.635523   .0516144    70.44   0.000     3.531628    3.7394
> 17
_Isubject_19 |          0  (omitted)
_Isubject_20 |   8.702786   .1005824    86.52   0.000     8.500324    8.9052
> 48
_Isubject_21 |          0  (omitted)
_Isubject_22 |  -2.664424   .0233091  -114.31   0.000    -2.711343   -2.6175
> 06
_Isubject_23 |  -3.682725   .0290201  -126.90   0.000     -3.74114   -3.6243
> 11
_Isubject_24 |  -4.771047   .0534539   -89.26   0.000    -4.878644    -4.663
> 45
_Isubject_25 |  -5.298899   .0696909   -76.03   0.000    -5.439179   -5.1586
> 18
_Isubject_26 |   6.830897   .0973583    70.16   0.000     6.634925    7.0268
> 69
_Isubject_27 |   .3447306   .0281655    12.24   0.000     .2880364    .40142
> 47
_Isubject_28 |   .0120335   .0086263     1.39   0.170    -.0053304    .02939
> 74
_Isubject_29 |   2.464542   .0252154    97.74   0.000     2.413786    2.5152
> 98
_Isubject_30 |          0  (omitted)
_Isubject_31 |          0  (omitted)
_Isubject_32 |   .0753221   .0820005     0.92   0.363    -.0897364    .24038
> 06
_Isubject_33 |  -1.655822   .0184234   -89.88   0.000    -1.692907   -1.6187
> 38
_Isubject_34 |  -.8184759   .0122743   -66.68   0.000    -.8431828   -.79376
> 89
_Isubject_35 |   -.436719   .0123279   -35.43   0.000    -.4615338   -.41190
> 42
_Isubject_36 |  -.6980889   .0371371   -18.80   0.000    -.7728421   -.62333
> 58
_Isubject_37 |          0  (omitted)
_Isubject_38 |  -1.177946   .0377937   -31.17   0.000    -1.254021   -1.1018
> 71
_Isubject_39 |  -3.486379   .0387081   -90.07   0.000    -3.564294   -3.4084
> 63
_Isubject_40 |  -1.833262   .0557332   -32.89   0.000    -1.945447   -1.7210
> 77
_Isubject_41 |   2.783098   .0711845    39.10   0.000     2.639811    2.9263
> 85
_Isubject_42 |          0  (omitted)
_Isubject_43 |   6.403683    .088167    72.63   0.000     6.226212    6.5811
> 54
_Isubject_44 |   1.530457   .0726723    21.06   0.000     1.384175    1.6767
> 39
_Isubject_45 |   1.065899   .0425744    25.04   0.000      .980201    1.1515
> 97
_Isubject_46 |   6.111859   .0718675    85.04   0.000     5.967197     6.256
> 52
_Isubject_47 |   2.286032    .040483    56.47   0.000     2.204544     2.367
> 52
_Isubject_48 |          0  (omitted)
_Isubject_49 |  -.4272852   .1178974    -3.62   0.001    -.6646004     -.189
> 97
_Isubject_50 |  -2.177991   .0537502   -40.52   0.000    -2.286185   -2.0697
> 98
_Isubject_51 |  -3.457029   .0419617   -82.39   0.000    -3.541493   -3.3725
> 64
_Isubject_52 |  -.4014729   .0278536   -14.41   0.000    -.4575392   -.34540
> 65
_Isubject_53 |          0  (omitted)
_Isubject_54 |  -3.447053   .0412986   -83.47   0.000    -3.530182   -3.3639
> 23
_Isubject_55 |  -5.732488   .1107162   -51.78   0.000    -5.955348   -5.5096
> 28
_Isubject_56 |          0  (omitted)
_Isubject_57 |   2.603142   .0682883    38.12   0.000     2.465684    2.7405
> 99
_Isubject_58 |   1.279759   .0628127    20.37   0.000     1.153323    1.4061
> 94
_Isubject_59 |   1.215155   .0527329    23.04   0.000     1.109009    1.3213
> 01
_Isubject_60 |  -.1248212   .0517947    -2.41   0.020    -.2290785   -.02056
> 39
_Isubject_61 |          0  (omitted)
_Isubject_62 |   1.389903   .0375269    37.04   0.000     1.314365    1.4654
> 41
_Isubject_63 |   2.569859   .0420377    61.13   0.000     2.485241    2.6544
> 76
_Isubject_64 |   .0295362   .0233031     1.27   0.211    -.0173705     .0764
> 43
_Isubject_65 |  -1.186161   .0315063   -37.65   0.000     -1.24958   -1.1227
> 43
_Isubject_66 |   -2.13911   .0219834   -97.31   0.000    -2.183361    -2.094
> 86
_Isubject_67 |  -.4084418   .0159504   -25.61   0.000    -.4405483   -.37633
> 53
_Isubject_68 |          0  (omitted)
_Isubject_69 |  -1.244847   .0629888   -19.76   0.000    -1.371637   -1.1180
> 58
_Isubject_70 |  -.0389276   .0091842    -4.24   0.000    -.0574144   -.02044
> 08
_Isubject_71 |   6.909484   .0797798    86.61   0.000     6.748895    7.0700
> 72
_Isubject_72 |   9.864145   .1260805    78.24   0.000     9.610358    10.117
> 93
_Isubject_73 |          0  (omitted)
_Isubject_74 |   7.083057   .0891567    79.45   0.000     6.903594     7.262
> 52
_Isubject_75 |   10.52874   .1197418    87.93   0.000     10.28771    10.769
> 76
_Isubject_76 |          0  (omitted)
_Isubject_77 |   .6216897   .0132602    46.88   0.000     .5949982    .64838
> 12
_Isubject_78 |   3.577991   .0333731   107.21   0.000     3.510815    3.6451
> 68
_Isubject_79 |   4.894495   .0502431    97.42   0.000      4.79336    4.9956
> 29
_Isubject_80 |   1.558421   .0282841    55.10   0.000     1.501488    1.6153
> 54
_Isubject_81 |   .0299179   .1073159     0.28   0.782    -.1860977    .24593
> 36
_Isubject_82 |   8.553365   .1278707    66.89   0.000     8.295974    8.8107
> 55
_Isubject_83 |   .9411033   .1073915     8.76   0.000     .7249355    1.1572
> 71
_Isubject_84 |          0  (omitted)
_Isubject_85 |   5.804394   .1200913    48.33   0.000     5.562662    6.0461
> 25
_Isubject_86 |          0  (omitted)
_Isubject_87 |   1.103427   .0314214    35.12   0.000     1.040179    1.1666
> 75
_Isubject_88 |   .7242604   .0359256    20.16   0.000     .6519459    .79657
> 48
_Isubject_89 |   2.135191   .0741553    28.79   0.000     1.985924    2.2844
> 58
_Isubject_90 |   1.447654   .0475879    30.42   0.000     1.351865    1.5434
> 44
_Isubject_91 |          0  (omitted)
_Isubject_92 |  -4.707286   .0782046   -60.19   0.000    -4.864704   -4.5498
> 69
_Isubject_93 |  -4.002743   .0544212   -73.55   0.000    -4.112287   -3.8931
> 99
_Isubject_94 |  -3.546217   .0597837   -59.32   0.000    -3.666556   -3.4258
> 79
_Isubject_95 |  -2.920271   .0832213   -35.09   0.000    -3.087786   -2.7527
> 55
_Isubject_96 |          0  (omitted)
_Isubject_97 |  -3.414524   .0325666  -104.85   0.000    -3.480077   -3.3489
> 71
_Isubject_98 |  -.4985092   .0233258   -21.37   0.000    -.5454617   -.45155
> 68
_Isubject_99 |  -2.022213   .0204802   -98.74   0.000    -2.063437   -1.9809
> 88
_Isubjec~100 |   1.627235   .0516343    31.51   0.000       1.5233    1.7311
> 69
_Isubjec~101 |   9.189264   .0909862   101.00   0.000     9.006118    9.3724
> 09
_Isubjec~102 |   4.097524   .0410509    99.82   0.000     4.014893    4.1801
> 55
_Isubjec~103 |   6.210436   .0983248    63.16   0.000     6.012518    6.4083
> 53
_Isubjec~104 |          0  (omitted)
_Isubjec~105 |   11.11006   .1033494   107.50   0.000     10.90203    11.318
> 09
_Isubjec~106 |   11.35817   .1241204    91.51   0.000     11.10833    11.608
> 01
_Isubjec~107 |   8.241635   .0745277   110.58   0.000     8.091619    8.3916
> 52
_Isubjec~108 |   1.174519   .0372713    31.51   0.000     1.099496    1.2495
> 42
_Isubjec~109 |   8.494276   .0868425    97.81   0.000     8.319471    8.6690
> 81
_Isubjec~110 |          0  (omitted)
_Isubjec~111 |          0  (omitted)
_Isubjec~112 |   6.575973   .1011757    65.00   0.000     6.372317    6.7796
> 29
_Isubjec~113 |    4.58055   .1026003    44.64   0.000     4.374026    4.7870
> 74
_Isubjec~114 |    5.85402   .0993398    58.93   0.000      5.65406    6.0539
> 81
_Isubjec~115 |   14.31978   .1598268    89.60   0.000     13.99807     14.64
> 15
_Isubjec~116 |  -.0046904   .0124109    -0.38   0.707    -.0296724    .02029
> 15
_Isubjec~117 |   .1758095   .0194945     9.02   0.000     .1365692    .21504
> 99
_Isubjec~118 |  -.0743192   .0188236    -3.95   0.000    -.1122091   -.03642
> 93
_Isubjec~119 |          0  (omitted)
_Isubjec~120 |  -2.706803    .094773   -28.56   0.000    -2.897571   -2.5160
> 35
_Isubjec~121 |  -4.643952   .0517238   -89.78   0.000    -4.748067   -4.5398
> 38
_Isubjec~122 |          0  (omitted)
_Isubjec~123 |  -6.480185   .0729802   -88.79   0.000    -6.627087   -6.3332
> 83
_Isubjec~124 |  -4.236795   .0612109   -69.22   0.000    -4.360006   -4.1135
> 84
_Isubjec~125 |  -3.218673   .0331257   -97.17   0.000    -3.285352   -3.1519
> 94
_Isubjec~126 |          0  (omitted)
_Isubjec~127 |  -1.982858   .0714718   -27.74   0.000    -2.126723   -1.8389
> 92
_Isubjec~128 |  -1.648208   .0717391   -22.98   0.000    -1.792611   -1.5038
> 05
_Isubjec~129 |   .1390742   .0471906     2.95   0.005     .0440845    .23406
> 39
_Isubjec~130 |  -2.408739    .067426   -35.72   0.000     -2.54446   -2.2730
> 17
_Isubjec~131 |   .1551467   .0566855     2.74   0.009     .0410448    .26924
> 86
_Isubjec~132 |  -3.059974   .1920639   -15.93   0.000    -3.446578   -2.6733
> 69
_Isubjec~133 |   .3802525   .0105298    36.11   0.000     .3590572    .40144
> 78
_Isubjec~134 |  -.8476726   .0186188   -45.53   0.000    -.8851503   -.81019
> 49
_Isubjec~135 |          0  (omitted)
_Isubjec~136 |   6.757517   .0663815   101.80   0.000     6.623898    6.8911
> 36
_Isubjec~137 |          0  (omitted)
_Isubjec~138 |   2.881366     .03652    78.90   0.000     2.807855    2.9548
> 77
_Isubjec~139 |   3.783379   .0368044   102.80   0.000     3.709296    3.8574
> 63
_Isubjec~140 |   6.113446   .0641288    95.33   0.000     5.984362    6.2425
> 31
_Isubjec~141 |   .7159673   .0261299    27.40   0.000     .6633705    .76856
> 41
_Isubjec~142 |  -1.393492   .0333298   -41.81   0.000    -1.460581   -1.3264
> 02
_Isubjec~143 |          0  (omitted)
_Isubjec~144 |   .9030378   .0117412    76.91   0.000      .879404    .92667
> 17
_Isubjec~145 |    2.34443   .0348926    67.19   0.000     2.274195    2.4146
> 66
_Isubjec~146 |          0  (omitted)
_Isubjec~147 |  -1.676871   .0204991   -81.80   0.000    -1.718134   -1.6356
> 09
_Isubjec~148 |  -.3255872   .0267326   -12.18   0.000    -.3793972   -.27177
> 71
_Isubjec~149 |   .9375765   .0464083    20.20   0.000     .8441613    1.0309
> 92
_Isubjec~150 |   3.569576   .0621628    57.42   0.000     3.444448    3.6947
> 03
_Isubjec~151 |  -1.535298   .0403823   -38.02   0.000    -1.616583   -1.4540
> 12
_Isubjec~152 |  -1.643593   .0394247   -41.69   0.000    -1.722951   -1.5642
> 35
_Isubjec~153 |          0  (omitted)
_Isubjec~154 |  -1.653569   .0424256   -38.98   0.000    -1.738968   -1.5681
> 71
_Isubjec~155 |  -2.251813    .047332   -47.57   0.000    -2.347088   -2.1565
> 39
_Isubjec~156 |          0  (omitted)
_Isubjec~157 |  -3.809468   .0510123   -74.68   0.000     -3.91215   -3.7067
> 85
_Isubjec~158 |  -3.158346   .0317714   -99.41   0.000    -3.222299   -3.0943
> 94
_Isubjec~159 |   -4.49515     .07345   -61.20   0.000    -4.642997   -4.3473
> 03
_Isubjec~160 |  -3.016059   .0290201  -103.93   0.000    -3.074473   -2.9576
> 44
_Isubjec~161 |          0  (omitted)
_Isubjec~162 |   1.099953   .0373529    29.45   0.000     1.024765     1.175
> 14
_Isubjec~163 |  -1.268122   .0228831   -55.42   0.000    -1.314184   -1.2220
> 61
_Isubjec~164 |  -1.607723   .0170677   -94.20   0.000    -1.642078   -1.5733
> 68
_Isubjec~165 |  -1.493275   .0374517   -39.87   0.000    -1.568661   -1.4178
> 88
_Isubjec~166 |          0  (omitted)
_Isubjec~167 |  -5.015168   .0825074   -60.78   0.000    -5.181246   -4.8490
> 89
_Isubjec~168 |   .0867663   .0009673    89.70   0.000     .0848192    .08871
> 35
_Isubjec~169 |   -4.94593      .0926   -53.41   0.000    -5.132324   -4.7595
> 36
_Isubjec~170 |  -3.651026   .0362751  -100.65   0.000    -3.724044   -3.5780
> 08
_Isubjec~171 |          0  (omitted)
_Isubjec~172 |  -5.907358   .0561122  -105.28   0.000    -6.020306    -5.794
> 41
_Isubjec~173 |  -7.260783   .0772851   -93.95   0.000     -7.41635   -7.1052
> 16
_Isubjec~174 |  -3.547316   .0353078  -100.47   0.000    -3.618387   -3.4762
> 45
_Isubjec~175 |   -4.51138   .0420791  -107.21   0.000    -4.596081   -4.4266
> 79
_Isubjec~176 |          0  (omitted)
_Isubjec~177 |  -.7510619    .045117   -16.65   0.000    -.8418778   -.66024
> 61
_Isubjec~178 |   6.119727   .0900205    67.98   0.000     5.938526    6.3009
> 29
_Isubjec~179 |   1.729675   .0671993    25.74   0.000      1.59441     1.864
> 94
_Isubjec~180 |   4.266942   .0880671    48.45   0.000     4.089672    4.4442
> 12
_Isubjec~181 |   .8197181   .0280868    29.19   0.000     .7631823    .87625
> 39
_Isubjec~182 |          0  (omitted)
_Isubjec~183 |   .4275004   .0444573     9.62   0.000     .3380125    .51698
> 82
_Isubjec~184 |   1.600033   .0519336    30.81   0.000     1.495496     1.704
> 57
_Isubjec~185 |   4.070054   .0545545    74.61   0.000     3.960242    4.1798
> 67
_Isubjec~186 |   2.720039   .0793599    34.27   0.000     2.560296    2.8797
> 83
_Isubjec~187 |   3.971477   .1006891    39.44   0.000       3.7688    4.1741
> 54
_Isubjec~188 |   2.349501    .069994    33.57   0.000     2.208611    2.4903
> 92
_Isubjec~189 |   8.609471   .1284504    67.03   0.000     8.350914    8.8680
> 28
_Isubjec~190 |          0  (omitted)
_Isubjec~191 |          0  (omitted)
_Isubjec~192 |   .3111297    .002902   107.21   0.000     .3052882    .31697
> 11
_Isubjec~193 |   1.887738   .0223997    84.28   0.000      1.84265    1.9328
> 26
_Isubjec~194 |    1.48089     .01983    74.68   0.000     1.440974    1.5208
> 06
_Isubjec~195 |   1.084498   .0137776    78.71   0.000     1.056765    1.1122
> 31
_Isubjec~196 |  -8.510473   .0919684   -92.54   0.000    -8.695595    -8.325
> 35
_Isubjec~197 |  -7.591782   .0742066  -102.31   0.000    -7.741152   -7.4424
> 12
_Isubjec~198 |  -1.338733   .0169284   -79.08   0.000    -1.372808   -1.3046
> 58
_Isubjec~199 |          0  (omitted)
_Isubjec~200 |    -10.514   .1821456   -57.72   0.000    -10.88064   -10.147
> 36
_Isubjec~201 |   .6077458   .0566619    10.73   0.000     .4936912    .72180
> 03
_Isubjec~202 |          0  (omitted)
_Isubjec~203 |  -3.048284   .1040954   -29.28   0.000    -3.257817   -2.8387
> 51
_Isubjec~204 |   -.375253   .0193231   -19.42   0.000    -.4141484   -.33635
> 76
_Isubjec~205 |  -.1011239    .045045    -2.24   0.030    -.1917949   -.01045
> 29
_Isubjec~206 |    3.56139    .081209    43.85   0.000     3.397925    3.7248
> 55
_Isubjec~207 |   7.364314   .0985119    74.76   0.000      7.16602    7.5626
> 09
_Isubjec~208 |  -.8196893   .0636493   -12.88   0.000    -.9478088   -.69156
> 98
_Isubjec~209 |          0  (omitted)
_Isubjec~210 |   7.656907   .1080713    70.85   0.000      7.43937    7.8744
> 43
_Isubjec~211 |          0  (omitted)
_Isubjec~212 |  -11.07815   .1117142   -99.17   0.000    -11.30302   -10.853
> 29
_Isubjec~213 |  -3.804403   .0266017  -143.01   0.000    -3.857949   -3.7508
> 56
_Isubjec~214 |  -6.306628   .0533987  -118.10   0.000    -6.414114   -6.1991
> 42
_Isubjec~215 |  -9.447901   .0794888  -118.86   0.000    -9.607903   -9.2878
> 98
_Isubjec~216 |   4.430265    .049103    90.22   0.000     4.331426    4.5291
> 04
_Isubjec~217 |     1.6951     .02196    77.19   0.000     1.650897    1.7393
> 03
_Isubjec~218 |          0  (omitted)
_Isubjec~219 |   5.854755   .0788223    74.28   0.000     5.696094    6.0134
> 16
_Isubjec~220 |   2.481046   .0259943    95.45   0.000     2.428722     2.533
> 37
_Isubjec~221 |   .4113248   .1031483     3.99   0.000     .2036982    .61895
> 15
_Isubjec~222 |   4.492541   .1252888    35.86   0.000     4.240348    4.7447
> 35
_Isubjec~223 |          0  (omitted)
_Isubjec~224 |   3.132691   .0779244    40.20   0.000     2.975838    3.2895
> 45
_Isubjec~225 |   .5321996   .1311462     4.06   0.000     .2682159    .79618
> 32
_Isubjec~226 |  -5.637956   .0701277   -80.40   0.000    -5.779115   -5.4967
> 96
_Isubjec~227 |          0  (omitted)
_Isubjec~228 |  -4.395379     .05962   -73.72   0.000    -4.515388    -4.275
> 37
_Isubjec~229 |  -5.820789   .0823555   -70.68   0.000    -5.986562   -5.6550
> 16
_Isubjec~230 |  -1.394034   .0278277   -50.10   0.000    -1.450048    -1.338
> 02
_Isubjec~231 |          0  (omitted)
_Isubjec~232 |   2.304726    .048392    47.63   0.000     2.207318    2.4021
> 34
_Isubjec~233 |   2.632888   .0636672    41.35   0.000     2.504733    2.7610
> 44
_Isubjec~234 |   2.789503   .0717347    38.89   0.000     2.645109    2.9338
> 97
_Isubjec~235 |   14.99512   .1406892   106.58   0.000     14.71193    15.278
> 31
  groupcode1 |  -1.890174   .4560278    -4.14   0.000     -2.80811   -.97223
> 79
  groupcode2 |   -7.28137   .1604406   -45.38   0.000    -7.604321    -6.958
> 42
  groupcode3 |  -3.686704   .4759924    -7.75   0.000    -4.644827   -2.7285
> 81
  groupcode4 |  -7.336508   .3173519   -23.12   0.000    -7.975304   -6.6977
> 12
  groupcode5 |   3.457791   .4213608     8.21   0.000     2.609636    4.3059
> 46
  groupcode6 |  -5.510054   .3565403   -15.45   0.000    -6.227733   -4.7923
> 76
  groupcode7 |   2.518131   .3379219     7.45   0.000     1.837929    3.1983
> 32
  groupcode8 |  -1.690174   .3623729    -4.66   0.000    -2.419593   -.96075
> 53
  groupcode9 |    -2.5721   .4128675    -6.23   0.000    -3.403159    -1.741
> 04
 groupcode10 |  -5.934111   .3978635   -14.91   0.000    -6.734969   -5.1332
> 54
 groupcode11 |   4.172683   .3522279    11.85   0.000     3.463685    4.8816
> 81
 groupcode12 |  -4.391047   .3124651   -14.05   0.000    -5.020007   -3.7620
> 88
 groupcode13 |   2.093492    .282958     7.40   0.000     1.523928    2.6630
> 57
 groupcode14 |  -1.448638   .5659581    -2.56   0.014    -2.587853   -.30942
> 36
 groupcode15 |    -8.2769   .1541324   -53.70   0.000    -8.587152   -7.9666
> 47
 groupcode16 |  -2.512598   .4207672    -5.97   0.000    -3.359559   -1.6656
> 38
 groupcode17 |   2.929715   .0537276    54.53   0.000     2.821567    3.0378
> 63
 groupcode18 |  -4.896129   .3512268   -13.94   0.000    -5.603112   -4.1891
> 46
 groupcode19 |   1.386623   .2924261     4.74   0.000     .7979995    1.9752
> 46
 groupcode20 |  -4.239268   .4538248    -9.34   0.000     -5.15277   -3.3257
> 66
 groupcode21 |          0  (omitted)
 groupcode22 |  -9.583929   .2992662   -32.02   0.000    -10.18632   -8.9815
> 38
 groupcode23 |  -5.258016   .3236736   -16.24   0.000    -5.909538   -4.6064
> 95
 groupcode24 |  -5.743069   .4997873   -11.49   0.000    -6.749089    -4.737
> 05
 groupcode25 |   5.145929   .3812433    13.50   0.000     4.378525    5.9133
> 32
 groupcode26 |  -2.284477   .3669465    -6.23   0.000    -3.023102   -1.5458
> 52
 groupcode27 |   .0500124   .4924695     0.10   0.920    -.9412773    1.0413
> 02
 groupcode28 |  -6.918046   .2744156   -25.21   0.000    -7.470416   -6.3656
> 76
 groupcode29 |  -.1815662   .3967168    -0.46   0.649    -.9801156    .61698
> 32
 groupcode30 |  -6.637497   .4909135   -13.52   0.000    -7.625655    -5.649
> 34
 groupcode31 |   2.546467    .388622     6.55   0.000     1.764211    3.3287
> 22
 groupcode32 |   .6406373   .2989231     2.14   0.037     .0389363    1.2423
> 38
 groupcode33 |  -.6786052   .5061237    -1.34   0.187    -1.697379     .3401
> 69
 groupcode34 |   2.940544    .454192     6.47   0.000     2.026303    3.8547
> 85
 groupcode35 |   2.586595   .2885452     8.96   0.000     2.005783    3.1674
> 06
 groupcode36 |   2.219084   .1817014    12.21   0.000     1.853338     2.584
> 83
 groupcode37 |  -4.275426   .2911467   -14.68   0.000    -4.861474   -3.6893
> 78
 groupcode38 |  -3.265331   .3661594    -8.92   0.000    -4.002372   -2.5282
> 91
 groupcode39 |  -7.798321   .5225188   -14.92   0.000    -8.850097   -6.7465
> 45
 groupcode40 |   4.753698   .5243648     9.07   0.000     3.698206    5.8091
> 89
 groupcode41 |   .8883957   .4151863     2.14   0.038     .0526691    1.7241
> 22
 groupcode42 |  -4.232446    .422299   -10.02   0.000     -5.08249   -3.3824
> 02
 groupcode43 |   1.876495    .435321     4.31   0.000      1.00024    2.7527
> 51
 groupcode44 |  -4.662711   .5053235    -9.23   0.000    -5.679875   -3.6455
> 48
 groupcode45 |          0  (omitted)
 groupcode46 |   1.424126   .2710846     5.25   0.000     .8784612    1.9697
> 91
 groupcode47 |  -7.241175   .2534788   -28.57   0.000    -7.751402   -6.7309
> 49
periodinph~e |  -.0984849   .0337424    -2.92   0.005    -.1664048    -.0305
> 65
ave_Otherc~l |   .3558155   .0406281     8.76   0.000     .2740353    .43759
> 56
punishment_l |  -.0816048   .1109083    -0.74   0.466    -.3048515     .1416
> 42
  punished_l |   .1585965   .3283382     0.48   0.631     -.502314     .8195
> 07
       _cons |   7.596647   .6651201    11.42   0.000      6.25783    8.9354
> 64
----------------------------------------------------------------------------
> --

.                                         estadd local cont "No"

added macro:
               e(cont) : "No"

.                                         estadd local ife "Yes"

added macro:
                e(ife) : "Yes"

.                                         estadd local gfe "Yes"

added macro:
                e(gfe) : "Yes"

.                                         estadd local trend "Yes"

added macro:
              e(trend) : "Yes"

.                                         
. esttab FEgt FEgtc using tab4m.tex, replace /// Table size adjusted manuall
> y with \adjustbox
>                                         title("Determinants of contributio
> ns: regression results" \label{tab4}) ///
>                                         label mti b(4) se(4) star(* 0.10 *
> * 0.05 *** 0.01) ///
>                                         obslast keep(dddem puntreat demtre
> at ave_Othercontribution_l punishment_l punished_l) ///
>                                         scalars("cont Other Controls" "ife
>  Individual FE" "gfe group FE" "trend Trend within phase" "r2 R-squared" "
> N Observations") ///
>                                         nonotes addnotes("Notes: Dependent
>  variable=contributions (ECU)." "Other controls include: gender, economics
> 's student, parent's education and labor status, and income related inform
> ation," "member of student union, whether the student is a single child, h
> as a scholarship, has a job, ethnicity, partymember and student leader." "
> Standard errors clustered at group level in parenthesis." "\hspace{.2cm} \
> sym{*} Significant at the  10 percent level." "\hspace{.05cm} \sym{**} Sig
> nificant at the \hspace{.05cm} 5 percent level." "\sym{***} Significant at
>  the \hspace{.05cm} 1 percent level.")
(note: file tab4m.tex not found)
(output written to tab4m.tex)

. 
. est clear

. 
. **************************************************************************
> ****** 
. *Table 5: Punishment decisions 
. **************************************************************************
> ******
. gen devothers = contribution - ave_Othercontribution

. label var devothers "OMC deviation"

. gen absdev = abs(devothers)

. gen posdev = devothers if devothers>0
(2854 missing values generated)

. replace posdev = 0 if posdev ==.
(2854 real changes made)

. label var posdev "OMC positive deviation"

. gen negdev = abs(devothers) if devothers<0
(2458 missing values generated)

. replace negdev = 0 if negdev ==.
(2458 real changes made)

. label var negdev "OMC negative deviation"

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 22
                delta:  1 unit

.                                 
. eststo re2: xi: xtreg punishment demtreat negdev posdev if punished, ///
>                                 re vce(cluster group)

Random-effects GLS regression                   Number of obs      =       8
> 83
Group variable: subject                         Number of groups   =       2
> 14

R-sq:  within  = 0.2599                         Obs per group: min =        
>  1
       between = 0.4306                                        avg =       4
> .1
       overall = 0.3452                                        max =        
> 11

                                                Wald chi2(3)       =    151.
> 62
corr(u_i, X)   = 0 (assumed)                    Prob > chi2        =    0.00
> 00

                                 (Std. Err. adjusted for 47 clusters in grou
> p)
----------------------------------------------------------------------------
> --
             |               Robust
  punishment |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
    demtreat |   .1172893   .1961913     0.60   0.550    -.2672385    .50181
> 71
      negdev |   .3474354   .0302729    11.48   0.000     .2881016    .40676
> 92
      posdev |   .0079269    .024498     0.32   0.746    -.0400882     .0559
> 42
       _cons |   1.736876   .1599456    10.86   0.000     1.423389    2.0503
> 64
-------------+--------------------------------------------------------------
> --
     sigma_u |  .52307747
     sigma_e |  1.5719993
         rho |  .09968335   (fraction of variance due to u_i)
----------------------------------------------------------------------------
> --

. eststo punishb: xtprobit punished demtreat negdev posdev if puntreat, pa

Iteration 1: tolerance = .02490218
Iteration 2: tolerance = .00392292
Iteration 3: tolerance = .00019649
Iteration 4: tolerance = 6.261e-06
Iteration 5: tolerance = 9.526e-08

GEE population-averaged model                   Number of obs      =      28
> 20
Group variable:                    subject      Number of groups   =       2
> 35
Link:                               probit      Obs per group: min =        
> 12
Family:                           binomial                     avg =      12
> .0
Correlation:                  exchangeable                     max =        
> 12
                                                Wald chi2(3)       =    195.
> 58
Scale parameter:                         1      Prob > chi2        =    0.00
> 00

----------------------------------------------------------------------------
> --
    punished |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
    demtreat |  -.1104928   .0779846    -1.42   0.157    -.2633398    .04235
> 42
      negdev |    .091868   .0098686     9.31   0.000     .0725259    .11121
> 01
      posdev |  -.0702377    .011405    -6.16   0.000     -.092591   -.04788
> 43
       _cons |  -.5139199   .0630148    -8.16   0.000    -.6374267   -.39041
> 31
----------------------------------------------------------------------------
> --

.                                 margins, dydx(*)

Average marginal effects                          Number of obs   =       28
> 20
Model VCE    : Conventional

Expression   : Pr(punished != 0), predict()
dy/dx w.r.t. : demtreat negdev posdev

----------------------------------------------------------------------------
> --
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interva
> l]
-------------+--------------------------------------------------------------
> --
    demtreat |  -.0360926    .025411    -1.42   0.156    -.0858972    .01371
> 21
      negdev |   .0300088   .0030691     9.78   0.000     .0239935    .03602
> 41
      posdev |  -.0229432    .003656    -6.28   0.000    -.0301088   -.01577
> 76
----------------------------------------------------------------------------
> --

. 
. //Values in table from marginal effects, manually imputed
. esttab punishb re2 using tab5m.tex, replace /// Table size adjusted manual
> ly with \adjustbox
>                                 title("Punishment decisions" \label{tab6})
>  ///
>                                 stats(r2_o N, fmt(%9.3f %9.0g) labels("R-s
> quared (overall)" Observations)) ///
>                                 mtitles("Punished=1" "Punished=1" "Punishm
> ent Pts." "Punishment Pts.") ///
>                                 label mti b(4) se(4) star(* 0.10 ** 0.05 *
> ** 0.01) ///
>                                 keep(demtreat negdev posdev) ///
>                                 scalars("cont Other Controls" "r2 R-square
> d" "N Observations") ///
>                                 nonotes addnotes("Notes: Coefficients for 
> first 2 models represent the average marginal effects of the probability o
> f being" "punished, for a Panel Data Probit model that captures the within
> g individual correlation." "Standard errors clustered at group level in pa
> renthesis for models 3 and 4." "\hspace{.2cm} \sym{*} Significant at the  
> 10 percent level." "\hspace{.05cm} \sym{**} Significant at the \hspace{.05
> cm} 5 percent level." "\sym{***} Significant at the \hspace{.05cm} 1 perce
> nt level.")
(note: file tab5m.tex not found)
(output written to tab5m.tex)

. est clear

. 
. 
. **************************************************************************
> *****
. *  Table 6: Leadership contribution analysis 
. **************************************************************************
> ******
. by subject, sort : egen float max_manager = max(manager2)

. replace max_manager=0 if manager2==0 & phase==2
(1140 real changes made)

. 
. xtset subject period
       panel variable:  subject (strongly balanced)
        time variable:  period, 1 to 22
                delta:  1 unit

. gen d10c = contribution - l10.contribution // c(t)-c(t-10)
(2350 missing values generated)

. 
. * Punishment - VCM, overall
. ttest d10c if period<=20, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |    1880    2.423936    .1586181    6.877516     2.11285    2.7350
> 22
       1 |     470    2.006383    .3151067     6.83135    1.387187    2.6255
> 79
---------+------------------------------------------------------------------
> --
combined |    2350    2.340426    .1416944    6.868889    2.062567    2.6182
> 85
---------+------------------------------------------------------------------
> --
    diff |            .4175532    .3542065               -.2770369    1.1121
> 43
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =   1.17
> 88
Ho: diff = 0                                     degrees of freedom =     23
> 48

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.8807         Pr(|T| > |t|) = 0.2386          Pr(T > t) = 0.11
> 93

. ranksumex d10c if period<=20, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |     1880   2234518.5     2209940
           1 |      470    527906.5      552485
-------------+---------------------------------
    combined |     2350     2762425     2762425

unadjusted variance   1.731e+08
adjustment for ties  -1116750.9
                     ----------
adjusted variance     1.720e+08

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   1.874
    Prob > |z| =   0.0609

. * Punishment - VCM, Leviathan
. ttest d10c if institution4 == 3 & period<=20, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |     920    2.881522    .2315994    7.024757    2.426997    3.3360
> 47
       1 |     230    1.926087    .4945832    7.500726    .9515714    2.9006
> 02
---------+------------------------------------------------------------------
> --
combined |    1150    2.690435    .2102346    7.129402    2.277948    3.1029
> 22
---------+------------------------------------------------------------------
> --
    diff |            .9554348    .5250587               -.0747474    1.9856
> 17
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =   1.81
> 97
Ho: diff = 0                                     degrees of freedom =     11
> 48

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.9655         Pr(|T| > |t|) = 0.0691          Pr(T > t) = 0.03
> 45

. ranksumex d10c if institution4 == 3 & period<=20, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |      920      540213      529460
           1 |      230      121612      132365
-------------+---------------------------------
    combined |     1150      661825      661825

unadjusted variance    20295967
adjustment for ties  -112985.13
                     ----------
adjusted variance      20182982

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   2.394
    Prob > |z| =   0.0167

. * Punishment - VCM, Democracy
. ttest d10c if institution4 == 4 & period<=20, by (manager2)

Two-sample t test with equal variances
----------------------------------------------------------------------------
> --
   Group |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interva
> l]
---------+------------------------------------------------------------------
> --
       0 |     960    1.985417    .2164933    6.707799    1.560561    2.4102
> 72
       1 |     240    2.083333    .3961181    6.136636    1.303005    2.8636
> 62
---------+------------------------------------------------------------------
> --
combined |    1200       2.005    .1903861    6.595167    1.631473    2.3785
> 27
---------+------------------------------------------------------------------
> --
    diff |           -.0979167    .4761554               -1.032108    .83627
> 45
----------------------------------------------------------------------------
> --
    diff = mean(0) - mean(1)                                      t =  -0.20
> 56
Ho: diff = 0                                     degrees of freedom =     11
> 98

    Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = 0.4186         Pr(|T| > |t|) = 0.8371          Pr(T > t) = 0.58
> 14

. ranksumex d10c if institution4 == 4 & period<=20, by (manager2)

Two-sample Wilcoxon rank-sum (Mann-Whitney) test

    manager2 |      obs    rank sum    expected
-------------+---------------------------------
           0 |      960    577490.5      576480
           1 |      240    143109.5      144120
-------------+---------------------------------
    combined |     1200      720600      720600

unadjusted variance    23059200
adjustment for ties  -172570.61
                     ----------
adjusted variance      22886629

Ho: d10c(manager2==0) = d10c(manager2==1)
             z =   0.211
    Prob > |z| =   0.8327

. 
. **************************************************************************
> ******
. * Figure 3: Contribution�s dynamics by roles
. **************************************************************************
> ******
. gen mean_managercont=.
(5170 missing values generated)

. forvalues i=1/22{
  2. qui mean contribution if treatment==1 & max_manager==1 & period==`i' 
  3. matrix c=e(b)
  4. replace mean_managercont=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. gen mean_nonmanagercont=.
(5170 missing values generated)

. forvalues i=1/22 {
  2. qui mean contribution if treatment==1 & max_manager==0 & period==`i'
  3. matrix c=e(b)
  4. replace mean_nonmanagercont=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. gen mean_managercontd=.
(5170 missing values generated)

. forvalues i=1/22{
  2. qui mean contribution if treatment==2 & max_manager==1 & period==`i' 
  3. matrix c=e(b)
  4. replace mean_managercontd=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. gen mean_nonmanagercontd=.
(5170 missing values generated)

. forvalues i=1/22 {
  2. qui mean contribution if treatment==2 & max_manager==0 & period==`i'
  3. matrix c=e(b)
  4. replace mean_nonmanagercontd=c[1,1] in `i'
  5. }
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)
(1 real change made)

. 
. gen per=_n

. twoway (connected mean_managercont per if per<=10, msymbol(O) lpattern(sol
> id) lc(ltblue) mc(ltblue)) ///
> (connected mean_managercont per if per>10 & per<=22, msymbol(Oh) lpattern(
> solid) lc(ltblue) mc(ltblue)) ///
> (connected mean_nonmanagercont per if per<=10, msymbol(O) lpattern(shortda
> sh) lc(gs8) mc(gs8)) ///
> (connected mean_nonmanagercont per if per>10 & per<=22, msymbol(Oh) lpatte
> rn(shortdash) lc(gs8) mc(gs8)) ///
> (connected mean_managercontd per if per<=10, msymbol(T) lpattern(solid) lc
> (blue) mc(blue)) ///
> (connected mean_managercontd per if per>10 & per<=22, msymbol(Th) lpattern
> (solid) lc(blue) mc(blue)) ///
> (connected mean_nonmanagercontd per if per<=10, msymbol(T) lpattern(shortd
> ash) lc(black) mc(black)) ///
> (connected mean_nonmanagercontd per if per>10 & per<=22, msymbol(Th) lpatt
> ern(shortdash) lc(black) mc(black)), ///
> ytitle("Average Contribution (Points)") xtitle("period") legend(label(1 "M
> anager's-Leviathan (VCM)") label(2 "Manager's-Leviathan (Punish.)") ///
> label(3 "Non-manager's-Leviathan (VCM)") label(4 "Non-manager's-Leviathan 
> (Punish.)") label(5 "Manager's-Democracy (VCM)") label(6 "Manager's-Democr
> acy (Punish.)") ///
> label(7 "Non-manager's-Democracy (VCM)") label(8 "Non-manager's-Democracy 
> (Punish.)") size(small) symxsize(8) keygap(1)) scheme(s1mono) ///
> xline(11 14 17 20, lpat(longdash)) xlabel(0(1)22) ylabel(0(2)20, nogrid) 

. 
. graph save Graph fig3m, replace
(note: file fig3m.gph not found)
(file fig3m.gph saved)

. graph export fig3m.eps, replace
(note: file fig3m.eps not found)
(file fig3m.eps written in EPS format)

. 
. **************************************************************************
> ******
. * Figure 4: Manager�s contribution rank within group
. **************************************************************************
> ****** 
. 
. *** Rank cumulative contribution in VCM phase within group
. bys subject phase: egen Cumulativecontribution = sum(contribution) if peri
> od<=10
(2820 missing values generated)

. 
. bys group period: egen rank_contribution = rank(Cumulativecontribution) if
>  period<=10, field
(2820 missing values generated)

. 
. gen manrank = rank_contribution if max_manager == 1 & period == 10
(5028 missing values generated)

. label var manrank "Rank of managers' cumulative contributions in VCM"

. histogram manrank, scheme(s1mono) discrete width(1) frequency addlabel yla
> bel(0(10)30, nolabels) ymtick(, nolabels) ///
> xlabel(0(1)5, nolabels) by(, legend(off)) by(treatment, style(combine))
(note:  named style combineregion not found in class graphstyle, default
    attributes used)

. gr_edit plotregion1.graph1.xaxis1.title.draw_view.setstyle, style(no)

. gr_edit plotregion1.graph2.xaxis1.title.draw_view.setstyle, style(no)

. gr_edit note.draw_view.setstyle, style(no)

. gr_edit plotregion1.graph1.subtitle.text = {}

. gr_edit plotregion1.graph1.subtitle.text.Arrpush Leviathan

. gr_edit plotregion1.graph2.subtitle.text = {}

. gr_edit plotregion1.graph2.subtitle.text.Arrpush Democracy

. graph save Graph fig4m, replace
(note: file fig4m.gph not found)
(file fig4m.gph saved)

. graph export fig4m.eps, replace
(note: file fig4m.eps not found)
(file fig4m.eps written in EPS format)

. 
end of do-file

. 
. log close
      name:  <unnamed>
       log:  C:\Users\ayudante\Dropbox\Donald\Data bienes p�blicos\Supplemen
> tary materials\finalresults.log
  log type:  text
 closed on:  18 Dec 2019, 12:29:30
----------------------------------------------------------------------------
